1.Accession number:20100312641196

Title:System integration of working process intelligent monitoring and controlling devices for combine harvester

Authors:Wei, Xinhua (1); Li, Yaoming (1); Chen, Jin (2); Song, Shoupeng (2); Gu, Jian (3); Zuo, Zhiyu (1); Ni, Jun (1)

Author affiliation:(1) Key Lab. of Modern Agricultural Equipment and Technol., Min. of Edu. and Jiangsu Province, Jiangsu University, Zhenjiang 212013, China; (2) School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China; (3) Industry Center, Jiangsu University, Zhenjiang 212013, China

Corresponding author:Wei, X. (wei_xh@126.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:56-60

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Based on the idea of modular structure of distributed system and a CAN field bus network, the general structure of the working process intelligent monitoring and controlling system for a combine harvester was constructed, and system integration of a cleaning loss and attachment loss monitoring device, a working load monitoring and adjustment device, a mechanical system fault monitoring device, a hydraulic system fault monitoring device and a electrical system fault monitoring device of the combine was implemented. And an integrated displaying and processing terminal (IDPT) was designed based on XScaleTM PXA270 microprocessor. Working parameters of all the devices were set on the IDPT, and working status parameters of the combine measured by all the devices were displayed, alarmed and stored by the IDPT. Field experiment results show that the system works well in the field environment, and can realize reliably the integration and fusion of the working status information of the combine.

Number of references:10

Main heading:Monitoring

Controlled terms:Buses - Harvesters - Hydraulic equipment - Process control - Steel bridges

Uncontrolled terms:CAN bus - CAN field bus - Combine harvesters - Control integration - Distributed systems - Electrical systems - Field experiment - Hydraulic system - Intelligent monitoring - Mechanical systems  - Modular structures - Monitoring device - System integration - Working loads - Working parameters - Working process

Classification code:943 Mechanical and Miscellaneous Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941 Acoustical and Optical Measuring Instruments - 821.1 Agricultural Machinery and Equipment - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 731 Automatic Control Principles and Applications - 632.2 Hydraulic Equipment and Machinery - 545.3 Steel - 401.1 Bridges - 663.1 Heavy Duty Motor Vehicles

DOI:10.3969/j.issn.1002-6819.2009.z2.011

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

2.Accession number:20100312641220

Title:Impact of antenna height on propagation characteristics of 2.4 GHz wireless channel in wheat fields

Authors:Li, Siyu (1); Gao, Hongju (1); Jiang, Jianzhao (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Corresponding author:Gao, H. (hjgao@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:184-189

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:It will provide the foundation for researches on wireless sensor network deployment and power control to study the wireless channel propagation characteristics in cropland environments. The power attenuation and the packet loss rate (PLR) of 2.4 GHz radio signals were measured in wheat fields at different growth stages with the transmission ranges of nodes and the path loss further attained, and then the path loss model was built through regression analysis using MATLAB. The results showed that the attenuation speed of signal power monotonically decreased, and transmission range monotonically increased with the increase of antenna height, respectively. Therefore, the optimal height of antenna was about 1.2 m, which was a little bit higher than that of mature wheat plants. The signal attenuation at later growth stages of wheat was larger than that at earlier stages when the antenna height was kept unchanged. In addition, 2.4 GHz wireless channel loss in wheat fields could be predicted by the logarithm distance path loss model, and the correlation coefficients between computational values and measurement values were between 0.961 and 0.996. Path loss index decreased logarithmically with the increased of antenna height, and increased with the growth of wheat plants.

Number of references:20

Main heading:Wireless sensor networks

Controlled terms:Algebra - Antennas - MATLAB - Radio broadcasting - Radio transmission - Regression analysis - Sensor networks - Signal processing - Transmissions - Wireless telecommunication systems

Uncontrolled terms:Computational value - Correlation coefficient - Growth stages - Packet loss rates - Path loss - Path loss models - Power attenuation - Propagation characteristics - Radio signals - Signal attenuation  - Signal power - Transmission ranges - Wheat fields - Wheat plants - Wireless channel - Wireless channel propagation - Wireless sensor network deployment

Classification code:922.2 Mathematical Statistics - 723.1.1 Computer Programming Languages - 723.5 Computer Applications - 731.1 Control Systems - 732 Control Devices - 921 Mathematics - 921.1 Algebra - 722.4 Digital Computers and Systems - 717 Optical Communication - 716.3 Radio Systems and Equipment - 716.1 Information Theory and Signal Processing - 716 Telecommunication; Radar, Radio and Television - 602.2 Mechanical Transmissions - 722.3 Data Communication, Equipment and Techniques

DOI:10.3969/j.issn.1002-6819.2009.z2.035

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

3.Accession number:20100312641216

Title:Development and implementation of field information management system based on telecommunications

Authors:Ji, Ronghua (1); Wu, Caicong (2); Li, Minzan (1); Ye, Haijian (1); Guo, Wei (1); Zheng, Lihua (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China; (2) Institute of Remote Sensing and GIS, Peking University, Beijing 100081, China

Corresponding author:Zheng, L. (zhenglh@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:165-169

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Remote intelligent management meet the needs of precision agriculture development. Field Information Management System was designed and realized in accordance with the thinking of software engineering. As an important component of Mobile Field Information Intelligent Service System, Field Information Management System was the core of field information intelligent management. Field Information Management System received the real-time field information from the wireless mobile terminals (that is field PDA) through GPRS, and stored them into the field information database. The field information was visualized, analyzed, and processed according to the field information process model, and provided support for the decision-making in field variable control. According to the primary functions of Field Information Management System, the system was divided into 4 modules, which were the map management module, the mobile terminals management module, the data management module and the system management module. Field information is real-time collected, transmitted, processed, and visualized in Field Information Management System, providing comprehensive decision information and technical support for users.

Number of references:15

Main heading:Information management

Controlled terms:Computer terminals - Decision making - Geographic information systems - Mobile phones - Personal digital assistants - Software engineering - Telecommunication - Wireless telecommunication systems

Uncontrolled terms:Data management - Decision information - GIS - In-field - Information database - Information management systems - Information process - Intelligent management - Intelligent Services - Mobile terminal  - Precision Agriculture - Primary functions - System management - Technical support - Time fields - Wireless mobile terminals

Classification code:912.2 Management - 903.3 Information Retrieval and Use - 903.2 Information Dissemination - 723.3 Database Systems - 723.1 Computer Programming - 722.2 Computer Peripheral Equipment - 722 Computer Systems and Equipment - 718.1 Telephone Systems and Equipment - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television

DOI:10.3969/j.issn.1002-6819.2009.z2.031

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

4.Accession number:20100312641234

Title:Design and implementation of 3D topgraphic surveying system in vehicle for field precision leveling

Authors:Meng, Zhijun (1); Fu, Weiqiang (1); Liu, Hui (2); Xu, Feijun (1); Chen, Liping (1)

Author affiliation:(1) Beijing Research Center for Intelligent Agricultural Equipment, Beijing 100097, China; (2) Information Engineering College, Capital Normal University, Beijing 100875, China

Corresponding author:Meng, Z. (mengzj@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:255-259

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Based on an all-terrain vehicle, a kind of field three-dimensional topgraphic measuring system was developed, including All-terrian Vehicle, RTK-GPS, Lightbar guidance devices, a field computer and data record software. In the system, high precision RTK-GPS and the embedded field computer were used for measurement and record of three dimensional topgraphic data, respectively, and the Lightbar device was developed for area-covering guidance during field data collection to improve efficiency and quality of data collection, then the system was evaluated through field tests. The results showed topgraphic data collected by the field topgraphic mapping system and manual data collection method could maintain good dimensional consistency with the maximal average error of 3.54 cm and the maximal standard deviation of 2.48 cm. The system can meet the need of field topgrapic measuring for agricultural field leveling.

Number of references:15

Main heading:Data acquisition

Controlled terms:All wheel drive vehicles - Global positioning system - Three dimensional - Vehicles

Uncontrolled terms:Agricultural fields - All-terrain vehicle - All-terrian vehicle - Average errors - Data collection method - Data records - Embedded fields - Field computer - Field data collection - Field test  - High precision - In-vehicle - Land leveling - Mapping systems - Measuring - Measuring systems - Precision leveling - Quality of data - RTK-GPS - Standard deviation

Classification code:943.3 Special Purpose Instruments - 902.1 Engineering Graphics - 723.5 Computer Applications - 723.2 Data Processing and Image Processing - 716.3 Radio Systems and Equipment - 663 Buses, Tractors and Trucks - 662 Automobiles and Smaller Vehicles - 655.2.1 Communication Satellites - 432 Highway Transportation

DOI:10.3969/j.issn.1002-6819.2009.z2.049

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

5.Accession number:20100312641240

Title:Remote sensing monitor and simulation prediction of cultivated and woody land changes for Three-gorges reservoir region

Authors:Dong, Lixin (1); Wu, Bingfang (2); Guo, Zhenhua (3); Li, Guicai (1); Huang, Jianxi (4); Zhang, Lei (2); Li, Li (2)

Author affiliation:(1) National Satellite Meteorological Center, Beijing 100081, China; (2) Institute of Remote Sensing Applications, Chinese Acad. of Sci., Beijing 100101, China; (3) Information Center Ministry of Land and Resources of China, Beijing 100812, China; (4) College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Corresponding author:Dong, L. (dlx_water@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:290-297

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:With the progress of the Three Gorges Project, the change of eco-environment and the influence of Abstract: urbanization on ecosystem in the reservoir region have attracted worldwide attention. The information of land-use/cover in two phases (1992 and 2002) was extracted through the object-oriented methods. The dynamic characteristics of cultivated and woody land changes were analyzed. Based on the SLEUTH model, the process of urbanization and associated land-use/cover change were simulated in the Chongqing region. The influence of urbanization on cultivated and woody land in future was analyzed. The results showed that cultivated land decreased, while woody land increased during the 10 years. Meanwhile, the proportion of cultivated land with larger 25 degree and of forest decreased, and Urban and built-up land extended sharply. The results of simulation showed that urban would expand slower in future decades, and new spreading centers had occurred. Hence, the cultivated and woody land would decrease continually. In the currently activity intension, the trend of cultivated and woody land would decrease obviously. The results will offer the foundation of decision-making for the local eco-environment construction and the urban development.

Number of references:31

Main heading:Remote sensing

Controlled terms:Land use

Uncontrolled terms:Chongqing - Cultivated and woody land - Cultivated lands - Dynamic characteristics - Eco-environments - Land use models - Land use/cover change - Object oriented method - Simulation prediction - Three Gorges project  - Three gorges reservoir - Three Gorges Reservoir region - Two phasis - Urban development

Classification code:403 Urban and Regional Planning and Development - 442.2 Land Reclamation - 731.1 Control Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.055

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

6.Accession number:20100312641229

Title:Evaluation of soil quality in suburb of Beijing under field scale

Authors:Han, Ping (1); Wang, Jihua (1); Pan, Ligang (1); You, Dongmei (1); Lu, Anxiang (1); Ma, Zhihong (1)

Author affiliation:(1) Beijing Research Center for Agri-Food Testing and Farmland Monitoring, Beijing 100097, China; (2) Nation Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (3) College of Resources and Environmental Science, China Agricultural University, Beijing 100193, China

Corresponding author:Wang, J. (wangjh@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:228-234

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In this study, typical three fields in the suburb of Beijing were selected as research object, including T1 bordering on a hill, T2 close to Beijing-Chengde highway, and T3 locating in the vicinity of the village with intensive human activities,. In order to evaluate soil quality in these areas and explore the impact of surrounding environment on soil quality, the soil fertility quality was quantitatively assessed by Fuzzy membership function model with basic evaluation indices which are organic matter, pH value, available phosphors, instant potassium and ammonium nitrogen. The soil environment quality was assessed by single factor pollution index and Nemerow indices of heavy metal including copper, zinc, chromium, plumbum, cadmium, arsenic, mercury. The results showed that comprehensive index of soil fertility quality in T1, T2 and T3 were 0.494, 0.624 and 0.630, respectively, and Nemerow indices were 0.876, 0.972 and 0.903, respectively, all belonging to II grade of soil environment quality. In these three fields, T2 had potential risk of heavy metal pollution. The comprehensive assessment indicated that the studied fields had good soil fertility quality and environment quality which were quite clean and safe to be agricultural base for agricultural products. The soil fertility quality in T1 field was relatively poor under the effect of hill. T2 field showed the worst environmental quality. The village of intensive human activities had no impact on soil quality of T3.

Number of references:21

Main heading:Quality control

Controlled terms:Agricultural products - Ammonium compounds - Arsenic - Cadmium - Chromium - Environmental impact - Fertilizers - Geologic models - Membership functions - Mercury (metal)  - Organic compounds - Potassium - Soils - Zinc

Uncontrolled terms:Ammonium nitrogen - Comprehensive assessment - Environment quality - Environmental quality - Evaluation index - Field scale - Fuzzy membership function - Heavy metal pollution - Human activities - Organic matter  - pH value - Pollution index - Potential risks - Research object - Soil environment - Soil fertility - Soil quality - Surrounding environment

Classification code:921 Mathematics - 804 Chemical Products Generally - 804.1 Organic Compounds - 804.2 Inorganic Compounds - 821.2 Agricultural Chemicals - 821.4 Agricultural Products - 913.3 Quality Assurance and Control - 549.3 Others, including Bismuth, Boron, Cadmium, Cobalt, Mercury, Niobium, Selenium, Silicon, Tellurium and Zirconium - 546.3 Zinc and Alloys - 543.1 Chromium and Alloys - 483.1 Soils and Soil Mechanics - 481.1 Geology - 454.2 Environmental Impact and Protection - 549.1 Alkali Metals

DOI:10.3969/j.issn.1002-6819.2009.z2.044

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

7.Accession number:20100312641241

Title:Portable intelligent distribution system for agricultural product based on PDA

Authors:Qian, Jianping (1); Yang, Xinting (1); Li, Ming (1); Ji, Zengtao (1); Sun, Chuanheng (1)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing 100097, China

Corresponding author:Yang, X. (yangxt@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:298-302

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Agriculture product distribution is an important part of the whole supply chain. For ensuring quality safety of agriculture product in the process of distribution, it is most important to obtaining quickly and managing precisely the loading and unloading information and supervising effectively the distribution process. The framework, function and database of portable intelligent distribution system (PIDS) were designed and the data update mechanism was planed. The data synchronization development with RDA and implement steps of loading with barcode scanning were mainly discussed, The PIDS was implemented with vs.net. The operation of the PIDS requies supports of GPS, GPRS/GSM modules. Comparison with three different running schemes of PIDS on PDA, the one with the modules of GPRS, barcode scanning and the GPS module which was connected with blue booth interface is suitable for agriculture product distribution enterprises.

Number of references:15

Main heading:Mobile telecommunication systems

Controlled terms:Agricultural products - Bar codes - Global positioning system - Personal digital assistants - Portable equipment - Supply chain management - Supply chains - Telecommunication - Telecommunication equipment - Unloading

Uncontrolled terms:Agriculture products - Bar-code scanning - Data synchronization - Data update - Distribution process - Distribution systems - Loading and unloading - Quality safety

Classification code:718 Telephone Systems and Related Technologies; Line Communications - 722 Computer Systems and Equipment - 723.2 Data Processing and Image Processing - 943.3 Special Purpose Instruments - 821.4 Agricultural Products - 912 Industrial Engineering and Management - 913 Production Planning and Control; Manufacturing - 911.3 Inventory Control - 717 Optical Communication - 716.3 Radio Systems and Equipment - 655.2.1 Communication Satellites - 671.2 Ship Equipment - 674.1 Small Marine Craft - 691.2 Materials Handling Methods - 704.2 Electric Equipment - 716 Telecommunication; Radar, Radio and Television

DOI:10.3969/j.issn.1002-6819.2009.z2.056

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

8.Accession number:20100312641201

Title:Numerical analysis method for predicting droplet size distribution of nozzles

Authors:Mao, Yijin (1); Wang, Xiu (1); Ma, Wei (1)

Author affiliation:(1) Beijing Research Center for Intelligent Agricultural Equipment, Beijing 100097, China; (2) College of Engineering, China Agricultural University, Beijing 100083, China; (3) Key and Open Laboratory of Information Technology in Agriculture, Affiliated to the Ministry of Agriculture of China, Beijing 100097, China

Corresponding author:Wang, X. (xiuwang@263.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:78-82

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Droplet size distribution, as an important indicator, is usually used to evaluate the performance of nozzles. Laser particle analyzers are usually adopted for the droplet size distribution measurement but the apparatus have the disadvantages of high expense, complicated operation and can not obtain results conveniently. In this paper, a Newton iterative method based on ULLN model was designed to determine unknown parameters in this model by using information provided by droplet sizes including Dv0.1, Dv0.5, Dv0.9, and then the expressions of the model were definited. The volume percent of a specific range of droplet size was figured out by using numerical integration with Simpson method. This method could determine volume percent of any ranges of droplet size in theory, because ULLN model has been determined after those calculation progresses above. In the last, comparison between results calculated by this method and that by DRIFTSIM program revealed that the method in this research had higher calculation accuracy than DRIFTSIM program.

Number of references:15

Main heading:Distribution functions

Controlled terms:Atomizers - Drop formation - Nozzles - Number theory - Numerical analysis - Numerical methods - Size distribution

Uncontrolled terms:Calculation accuracy - Droplet size distributions - Droplet sizes - Droplets - Laser particle analyzer - Newton iterative methods - Numerical integrations - Simpson - Unknown parameters

Classification code:933.1 Crystalline Solids - 931.2 Physical Properties of Gases, Liquids and Solids - 922.2 Mathematical Statistics - 922.1 Probability Theory - 921.6 Numerical Methods - 921 Mathematics - 802.1 Chemical Plants and Equipment - 631.1.1 Liquid Dynamics - 631.1 Fluid Flow, General - 531.2 Metallography - 423 Non Mechanical Properties and Tests of Building Materials

DOI:10.3969/j.issn.1002-6819.2009.z2.016

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

9.Accession number:20100312641225

Title:Design and implementation of pest diagnosis system for cotton based on Web

Authors:Li, Xinxing (1); Zhang, Lingxian (2); Fu, Zetian (1); Li, Hui (1)

Author affiliation:(1) College of Engineering, China Agricultural University, Beijing 100083, China; (2) College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Corresponding author:Fu, Z. (fzt@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:208-212

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to popularize the diagnostic knowledge of cotton pests and meet the cotton farmers' need for domain experts, this paper presents a web-based pests diagnosis system for cotton by using the technology of Java, Internet and the database development tools of SQL Server 2000. The research achieved the goal of remote diagnosis of cotton pests with the help of internet. With the methods of fuzzy inference and case gaining, the system improved traditional knowledge acquisition methods, increased the diagnosis accuracy, and offset the low efficiency of the diagnosis with single method of case retrieval. The system consists of the functions of knowledge browsing, case retrieval and expert consultation, which can provide not only fast, convenient and accurate intelligence enquiry service, but also remote online diagnosis in virtue of expert consultation for cotton farmers.

Number of references:19

Main heading:Cotton

Controlled terms:Agriculture - Fuzzy inference - Insect control - Internet - Knowledge acquisition

Uncontrolled terms:Case retrieval - Database development - Diagnosis systems - Domain experts - Expert consultation - Farmers' needs - On-line diagnosis - Remote diagnosis - SQL server 2000

Classification code:821.4 Agricultural Products - 723.4.1 Expert Systems - 804.1 Organic Compounds - 804.2 Inorganic Compounds - 819.1 Natural Fibers - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.2 Agricultural Chemicals - 723.4 Artificial Intelligence - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 461.7 Health Care - 723 Computer Software, Data Handling and Applications

DOI:10.3969/j.issn.1002-6819.2009.z2.040

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

10.Accession number:20100312641233

Title:Impact of precision agriculture on environment

Authors:Huang, Yuxiang (1); Yang, Qing (1)

Author affiliation:(1) College of Mechanical and Electronic Engineering, Northwest Agricultural and Forestry University, Yangling 712100, China

Corresponding author:Huang, Y. (lilikg2004@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:250-254

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:As one of the direct output of Precision Agriculture (PA), environmental impact plays a very important part in the development of PA. The paper mainly analyzed the present status of PA on the management of nutrient, maintenance of water and soil and pesticide sprinkling, etc. Based on discussing the problems of research on the environmental impact of PA, the paper points out enacting strict environmental regulations, strengthening the orientated research and intensifying the evaluation of environmental impacts of PA are the main research direction to promote the research on the environmental impact of PA.

Number of references:38

Main heading:Environmental impact

Controlled terms:Agriculture - Environmental regulations - Fertilizers - Pesticides - Research - Research and development management

Uncontrolled terms:Precision Agriculture - Present status - Research directions

Classification code:912.2 Management - 901.3 Engineering Research - 821.2 Agricultural Chemicals - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 804 Chemical Products Generally - 803 Chemical Agents and Basic Industrial Chemicals - 454.2 Environmental Impact and Protection

DOI:10.3969/j.issn.1002-6819.2009.z2.048

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

11.Accession number:20100312641224

Title:Identification of barley scab based on multi-spectral imaging technology

Authors:Sun, Guangming (1); Yang, Kaisheng (1); Zhang, Chuanqing (2); Wu, Di (1); He, Yong (1); Feng, Lei (1)

Author affiliation:(1) College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China; (2) School of Agriculture and Food Science, Zhejiang Forestry University, Hangzhou 311300, China

Corresponding author:Feng, L. (Lfeng@zju.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:204-207

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Site-specific variable pesticide application is one of the major precision crop production management operations. Barley scab identification and classification by human sight need special crop protect knowledge with the lower efficiency. A method for real-time and reliable detection of barley disease was developed. The samples of the infected barley and the healthy barley were collected. The backgrounds of images were removed by using the Nir channel image and the threshold segmentation algorithm, and the barley awn was removed by imopen function. Then statistical characteristics of images were captured, including the mean values and variances of the gray values of the image. After the statistical characteristics were preprocessed, Partial Least Squares (PLS) analysis was applied as calibration method as well as a way to extract the new eigenvectors which could be used to represent the information of original image data. The selected new eigenvectors were used as the input data matrix of least squares-support vector machine (LS-SVM) to develop LS-SVM identifying models and the barley, which was infected by barley scab or not, were used to be the outputs of the LS-SVM model. It was found that the the LS-SVM model was the best method with the predicting accuracy of 93.9%. The results indicateed that the method of identifying barley scab based on multi-spectral images was feasible. Thus, it is concluded that multi-spectral imaging technique is available for the detection of barley scab on the barley spike.

Number of references:13

Main heading:Support vector machines

Controlled terms:Crops - Cultivation - Eigenvalues and eigenfunctions - Image processing - Image retrieval - Imaging techniques - Industrial management - Interferometry - Spectrum analysis - Spectrum analyzers

Uncontrolled terms:Calibration method - Crop production - Eigenvectors - Gray value - Identification - Identifying models - Input datas - Least square support vector machines - Least-squares support vector machines - Mean values  - Multispectral images - Multispectral imaging - Original images - Partial least squares analysis - Plant protection - Reliable detection - Site-specific - Statistical characteristics - SVM model - Threshold segmentation

Classification code:921.1 Algebra - 922.2 Mathematical Statistics - 941 Acoustical and Optical Measuring Instruments - 941.4 Optical Variables Measurements - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 921 Mathematics - 723 Computer Software, Data Handling and Applications - 723.2 Data Processing and Image Processing - 741 Light, Optics and Optical Devices - 746 Imaging Techniques - 821.3 Agricultural Methods - 821.4 Agricultural Products - 912.2 Management

DOI:10.3969/j.issn.1002-6819.2009.z2.039

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

12.Accession number:20100312641250

Title:Measurement of soluble solid content in persimmon using visible-near infrared spectroscopy

Authors:Zhang, Shujuan (1); Zhang, Haihong (1); Wang, Fenghua (1); Zhao, Conghui (1); Yang, Guoqiang (1)

Author affiliation:(1) Engineering Technology College, Shanxi Agricultural University, Taigu 030801, China

Corresponding author:Zhang, S. (zsujuan@263.net)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:345-347

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:To achieve fast and non-destructive measurement of soluble solid content (SSC) in persimmon, a new method based on visible-near infrared reflectance (NIR) spectroscopy was put forward. A Field Spec 3 spectroradiometer was used for collecting 66 sample spectra data of the three kinds of persimmon separately. Then principal component analysis (PCA) was used to process the spectral data after pretreatment using the average Smoothing method, and 6 principal components(PCs) were selected based on accumulative reliabilities. These selected PCs would be taken as the inputs of the three-layer back-propagation artificial neural network (BP-ANN). A total of 66 persimmon samples were divided into calibration sets including 51 samples (17 samples of each variety) and validation sets including 15 samples (5 samples of each variety) randomly. The three-layer BP-ANN model was established with 6 nodes being 6 principal components (PCs) in input layer, 1 node being soluble solid content (SSC) in persimmon in output layer and 11 nodes in hidden layer. Then the model was used to predict soluble solid content of persimmon for the sample in the validation set. The results showed that a standard error of calibration (SEC) of the calibration model was 0.232, its prediction relative error below 3% was achieved, the decision coefficient (R²) between the predicted value and the measurement value was 0.99, and the forecast standard deviation (SEP) was 0.257. It can be concluded that PCA combined with BP-ANN is an available method for soluble solid content measurement of persimmon based on NIR spectroscopy.

Number of references:9

Main heading:Principal component analysis

Controlled terms:Agricultural products - Backpropagation - Calibration - Infrared devices - Infrared spectrophotometers - Infrared spectroscopy - Near infrared spectroscopy - Neural networks - Spectrum analysis - Thermonuclear reactions

Uncontrolled terms:Back-propagation artificial neural network - BP neural network - BP neural networks - Calibration model - Hidden layers - Input layers - Near infrared reflectance spectroscopy - NIR spectroscopy - Non-destructive measurement - Output layer  - Pre-Treatment - Principal Components - Relative errors - Smoothing methods - Soluble solid content - Spectral data - Spectro-radiometers - Standard deviation - Standard error of calibrations - Three-layer  - Validation sets - Visible spectroscopy - Visible-near infrared spectroscopy

Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 922.2 Mathematical Statistics - 931.2 Physical Properties of Gases, Liquids and Solids - 931.3 Atomic and Molecular Physics - 932.2.1 Fission and Fusion Reactions - 941 Acoustical and Optical Measuring Instruments - 941.4 Optical Variables Measurements - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 921 Mathematics - 461.1 Biomedical Engineering - 621.2 Fusion Reactors - 723.4 Artificial Intelligence - 902.2 Codes and Standards - 741.1 Light/Optics - 801 Chemistry - 821.4 Agricultural Products - 741.3 Optical Devices and Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.065

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

13.Accession number:20100312641246

Title:Application of different of models near infrared spectroscopy in detection of apple juice

Authors:Zhu, Dazhou (1); Meng, Chaoying (3); Tu, Zhenhua (4); Qing, Zhaoshen (4); Ji, Baoping (4); Yan, Yanlu (3); Pan, Ligang (1)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Beijing Research Center for Agri-Food Testing and Farmland Monitoring, Beijing 100097, China; (3) College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (4) College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China

Corresponding author:Pan, L. (panlg@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:325-329

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to investigate the stability and application range of near infrared spectroscopy (NIR) models, four calibration models (local model, transferred local model, global model, and optimized global model) were constructed. They were applied to detect three quality parameters (soluble solids content, pH, and electric conductivity) for five varieties of fresh apple juice. The results showed that the prediction accuracy for soluble solids content (SSC) was high (r=0.93, SEP%=3.7%). While electric conductivity was indirectly correlated to NIR, it could hardly be measured by NIR (r=0.84, SEP%=12.7%). The global model of pH had high correlation coefficient (r=0.94), but the differentiation ability of the local model was low (RPD=1.1). The relative standard error of prediction (SEP%), the ratio between standard deviation of quality parameters and SEP were applied to evaluate the stability and application range. The performance of four kinds of NIR models were compared from the aspects of stability, suitability and accuracy. It was found that the application range of model had high influence on the prediction results. Specifically, local model constructed by individual variety samples had high accuracy but poor stability; usually it was only applicable to its own variety and not suitable for other varieties. The method of adding a few samples from the other variety to the current local model so as to construct a new one could broaden its application. The global model constructed with several varieties of samples had high stability although its accuracy was a bit lower than the local model. The method of selecting the representative samples to optimize the global model could reduce the work and the cost for a practical model, and keep its excellent performance as well. Thus it is a worthy method to be recommended.

Number of references:11

Main heading:Infrared spectroscopy

Controlled terms:Cost reduction - Electric conductivity measurement - Electric conductivity of solids - Fruit juices - Infrared devices - Knowledge based systems - Near infrared spectroscopy - Stability

Uncontrolled terms:Apple juice - Application range - Calibration model - Correlation coefficient - Excellent performance - Global models - High stability - Local model - Poor stability - Practical model  - Prediction accuracy - Quality parameters - Relative standard error of predictions - Representative sample - Soluble solids content - Standard deviation

Classification code:912.2 Management - 931 Classical Physics; Quantum Theory; Relativity - 931.2 Physical Properties of Gases, Liquids and Solids - 961 Systems Science - 931.3 Atomic and Molecular Physics - 942.2 Electric Variables Measurements - 951 Materials Science - 941.4 Optical Variables Measurements - 911.2 Industrial Economics - 822.3 Food Products - 701.1 Electricity: Basic Concepts and Phenomena - 723.4.1 Expert Systems - 731.4 System Stability - 741.1 Light/Optics - 741.3 Optical Devices and Systems - 801 Chemistry

DOI:10.3969/j.issn.1002-6819.2009.z2.061

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

14.Accession number:20100312641214

Title:Technology of multiple concentric circles for surveying forest volume with electronic angle gauge

Authors:Dong, Bin (1); Yang, Xiaoming (3); Feng, Zhongke (2); Tang, Xuehai (2); Zhang, Dongyou (2); Du, Linfang (2)

Author affiliation:(1) School of Science, Anhui Agricultural University, Hefei 230036, China; (2) Institute of GIS, RS and GPS, Beijing Forestry University, Beijing 100083, China; (3) School of Resources and Environment, North China University of Water Conservancy and Electric Power, Zhengzhou 450011, China; (4) School of Geography Science, Harbin Normal University, Harbin 150080, China

Corresponding author:Feng, Z. (fengzhongke@126.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:156-160

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to realize the precision and real-time measurement of the forest volume, the paper took the partial plots of the Jiufeng Forest Farm as the case to propose the principle and method of the forest volume measurement by the multiple concentric circles with the electronic angle gauge. The study showed that the forest volume of the spots measured by five concentric circles with the electronic angle gauge decreased gradually. The change tended to be stable when reaching the fourth concentric circle, with reliable results. On the contrary, there was no regularity in measurement by using the multiple observation points based on the conventional angle gauge, with insignificant changing trend. There was low changing rate of the angle gauge calculation, but the volume changing was relatively large. As for the spots with inconsistent forest forms and uneven spatial distribution, the forest volume was with the low precision. The relative errors of the forest volume by using the multiple observation points based on the conventional angle gauge could reach 40%. The electronic angle gauge took the telescope and charge-coupled device (CCD) system, which largely reduced the probability of the misreading. Meanwhile, the automatic calculation was made by PDA to realize the automation and precision of the forest volume measurement.

Number of references:18

Main heading:Gages

Controlled terms:Personal digital assistants - Time measurement - Titration - Volume measurement

Uncontrolled terms:Automatic calculations - Changing trends - Concentric circles - Concentric circles technology - Conventional angle gage - Multiple concentric circles - Observation point - Real time measurements - Relative errors - Spatial distribution

Classification code:722 Computer Systems and Equipment - 801 Chemistry - 943.2 Mechanical Variables Measurements - 943.3 Special Purpose Instruments

DOI:10.3969/j.issn.1002-6819.2009.z2.029

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

15.Accession number:20100312641192

Title:Correlation between soil electrical conductivity and winter wheat yield

Authors:Zhao, Yong (1); Li, Minzan (1); Zhang, Junning (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China

Corresponding author:Li, M. (limz@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:34-37

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:"Jingdong 12" winter wheat was taken as the experimental objective, and the correlation between soil electrical conductivity (EC) in a crop growth season and the yield of the winter wheat was analyzed. A 1:5 soil water extract method was used to measure soil EC during the whole winter wheat growth season. The winter wheat yield was measured by a combine harvester with a global position system (GPS) receiver and a yield mapping system that could record the yield data and locations of zones. Statistical analysis shows that there is a linear correlation between soil EC and the winter wheat yield at different growth stages of the winter wheat. Correlation coefficients were calculated between soil EC data and the yield of the winter wheat. Estimation models of the winter wheat yield with soil EC data were established at every growth stage. The coefficients of determination for models were all greater than 0.630 and better results were obtained at the heading, watery and milk stages, respectively. The best model correlation coefficient reached 0.678 at the watery stage. Soil EC, as a comprehensive index of soil physical and chemical properties, can serve as a guideline for soil productive potentiality, and can be used to assess the variability of crop yield, determine management zones, and make a variable rate prescription for precision agriculture.

Number of references:15

Main heading:Correlation methods

Controlled terms:Chemical properties - Crops - Electric conductivity - Electric conductivity measurement - Geologic models - Harvesters - Soil moisture - Solvent extraction - Underwater soils

Uncontrolled terms:Best model - Combine harvesters - Correlation coefficient - Crop growth - Crop yield - Estimation models - Growth season - Growth stages - Linear correlation - Management zones  - Position systems - Precision Agriculture - Productive potentialities - Soil EC - Soil electrical conductivity - Soil physical and chemical properties - Soil water - Statistical analysis - Variable rate - Winter wheat  - Yield mapping

Classification code:942.2 Electric Variables Measurements - 922.2 Mathematical Statistics - 821.4 Agricultural Products - 821.1 Agricultural Machinery and Equipment - 802.3 Chemical Operations - 801 Chemistry - 701.1 Electricity: Basic Concepts and Phenomena - 483.1 Soils and Soil Mechanics - 481.1 Geology - 471.1 Oceanography, General - 423 Non Mechanical Properties and Tests of Building Materials

DOI:10.3969/j.issn.1002-6819.2009.z2.007

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

16.Accession number:20100312641239

Title:Analysis of mining land use regulations based on remote sensing

Authors:Zeng, Hui (1); Zeng, Lei (3); Zhang, Lanlan (4)

Author affiliation:(1) School of Sociology and Law, China Woman's University, Beijing 100101, China; (2) Research Institute of Land Reclamation and Ecology, China University of Mining and Technology, Beijing 100083, China; (3) College of Management, Hebei University, Baoding 071002, China; (4) School of Land Science and Technology, China University of Geosciences, Beijing 100083, China

Corresponding author:Zeng, H. (zenghuibj@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:283-289

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Mining land in a mining centralized zone is directly related to regional land-use security pattern. Wu'an city was took as a case study. TM images maps in 1996 and 2006 as data sources were used and the combined method of remote sensing software ENVI for automatic recognition and manual interpretation was adopted. The matrix of dynamic land-use change extracted by ARC/INFO and changes of land use area showed that the land type with the greatest change rate was mining land. The landscape indices calculated by the software FRAGSTATS3.3 showed that the role mining and industrial landscape elements played in this region was enhanced, the complexity of distribution of all lands was increased, the dispersion and change range of overall landscape pattern were limited, and that the distribution of mining land was centralized closely with that of mineral resources.

Number of references:16

Main heading:Land reclamation

Controlled terms:Computer software - Forestry - Land use - Laws and legislation - Mineral resources - Remote sensing

Uncontrolled terms:Arc/info - Automatic recognition - Combined method - Data source - Land use regulations - Land-use change - Landscape elements - Landscape index - Landscape pattern - matrix  - Security patterns - TM image

Classification code:902.3 Legal Aspects - 821.0 Woodlands and Forestry - 731.1 Control Systems - 971 Social Sciences - 723 Computer Software, Data Handling and Applications - 442.2 Land Reclamation - 403 Urban and Regional Planning and Development - 501 Exploration and Prospecting

DOI:10.3969/j.issn.1002-6819.2009.z2.054

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

17.Accession number:20100312641243

Title:Multi-source heterogeneous data processing with graphics configuration software for safe production management of agricultural products

Authors:Huang, Huamei (1); Yang, Xinting (2); Yang, Baozhu (2); Xing, Bin (2); Zhao, Li (2)

Author affiliation:(1) College of Information and Engineering, Capital Normal University, Beijing 100048, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China

Corresponding author:Yang, X. (yangxt@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:308-313

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Graphics configuration software for safe production management of agricultural products can effectively manage the production information of agricultural products. The issues of data exchange between multi-sources heterogeneous data and graphics were desired to be a key problem of graphics configuration software. The characteristics of information for safe production management of agricultural products was analyzed and abstracted, and then a XML-based description language was constructed. Configuration graphic interface exchanged data with XML documents that were regulated by this description language, but not directly with heterogeneous data sources. Thus, the differences of heterogeneous data sources were screened by applying this description language. The results showed that the method provides an effective solution for the problem of multi-sources heterogeneous data in the graphics configuration software for safe production management of farm product.

Number of references:27

Main heading:Data processing

Controlled terms:Agricultural products - Computer software selection and evaluation - Industrial management - Linguistics - Markup languages - Safety factor - XML

Uncontrolled terms:Configuration software - Data exchange - Description languages - Effective solution - Graphic interfaces - Heterogeneous data - Heterogeneous data sources - Key problems - Multi-sources heterogeneous data - Multisources  - Quality - Safe production

Classification code:914.1 Accidents and Accident Prevention - 912.2 Management - 903.2 Information Dissemination - 821.4 Agricultural Products - 723.2 Data Processing and Image Processing - 723 Computer Software, Data Handling and Applications - 662.1 Automobiles - 652.1 Aircraft, General - 408.1 Structural Design, General

DOI:10.3969/j.issn.1002-6819.2009.z2.058

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

18.Accession number:20100312641198

Title:Droplet velocity and energy characteristics of continuously variable spray based on pulse width modulation

Authors:Deng, Wei (1); Ding, Weimin (2); He, Xiongkui (3)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) College of Engineering, Nanjing Agricultural University, Nanjing 210031, China; (3) College of Science, China Agricultural University, Beijing 100193, China

Corresponding author:Deng, W. (vivienne_deng@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:66-69

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:A kind of continuously variable sprayer based on pulse width modulation was developed. The spray characteristics of the sprayer were studied with three kinds of nozzles such as flat fan-shaped nozzle, hollow cone nozzle and solid cone nozzle. A phase-Doppler particle dynamic analyzer (PDA) manufactured by Dantec Company was used to measure the spray droplet size and velocity below the nozzle of 50 cm. The measurement results were statistically analyzed. The variation rules of droplet velocity, spray specific energy, kinetic energy median diameter and volume median diameter with spray flow were obtained. The droplet velocity and the spray specific energy both decreased with the decreasing of spray flow rate, and especially when the duty cycle was less than 75%, the decrease of the spray droplet velocity was significant. Kinetic energy median diameter decreased with the decreasing of spray flow rate, which was the same as the variation of volume median diameter, and the results also indicated kinetic energy median diameter was related to the spray droplet size.

Number of references:9

Main heading:Spray nozzles

Controlled terms:Drop formation - Electron energy loss spectroscopy - Kinetic energy - Modulation - Pulse width modulation - Velocity

Uncontrolled terms:Droplet velocity - Duty cycles - Energy characteristics - Measurement results - Median diameters - Particle dynamic analyzer - Phase-Doppler - Specific energy - Spray characteristics - Spray droplet  - Spray flow - Variable spray - Variable velocities

Classification code:932.2 Nuclear Physics - 931.3 Atomic and Molecular Physics - 931.2 Physical Properties of Gases, Liquids and Solids - 931.1 Mechanics - 801 Chemistry - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 631.1 Fluid Flow, General

DOI:10.3969/j.issn.1002-6819.2009.z2.013

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

19.Accession number:20100312641195

Title:Optimal arrangement of soil nutrient sampling based on geo-statistics

Authors:Chen, Tian'en (1); Chen, Liping (1); Wang, Yanji (1); Gao, Yunbing (1); Ren, Zhongshan (1)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing 100097, China

Corresponding author:Chen, L. (chenlp@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:49-55

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Traditional arrangement methods of sampling points were established on the hypothesis that spatial characteristics of soil were random variation. But research results of geo-statistics showed that changes in spatial characteristics of soil were not completely random, soil characteristic status had relevance at spatial. So traditional arrangement methods were used for making sampling plan, those did not reflected local variation.. In this paper, classical statistical methods were used to determine the optimal number of sampling points, and geo-statistics methods, like semivariogram and Kriging methods, were used to determine the optimal arrangement of sampling points based on the analysis on spatial variation of soil fertility characteristics. Spatial variation of soil fertility was analyzed in typical areas. The results showed that 14 soil sampling points were enough to meet the needs of drawing prescription map for precision fertilization in the field of typical. It is a feasible method that classical statistics and geostatistical analysis were combined for optimal arrangement soil fertility sampling.

Number of references:14

Main heading:Sampling

Controlled terms:Fertilizers - Interpolation - Nutrients - Optimization - Soils

Uncontrolled terms:Geo-statistics - Geostatistical analysis - Kriging interpolation - Kriging methods - Layout optimization - Local variations - Optimal arrangement - Optimal number - Prescription map - Random variation  - Research results - Sampling plans - Sampling points - Sampling-based - Semi-variance function - Semivariograms - Soil characteristics - Soil fertility - Soil nutrients - Soil sampling  - Spatial characteristics - Spatial variations - Variance function

Classification code:922.1 Probability Theory - 921.6 Numerical Methods - 921.5 Optimization Techniques - 913.3 Quality Assurance and Control - 822.3 Food Products - 821.2 Agricultural Chemicals - 804 Chemical Products Generally - 801 Chemistry - 483.1 Soils and Soil Mechanics - 461.9 Biology - 454.3 Ecology and Ecosystems

DOI:10.3969/j.issn.1002-6819.2009.z2.010

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

20.Accession number:20100312641205

Title:Reverse attacking model of RFID tag anti-counterfeit system for agricultural product

Authors:Zhao, Chunjiang (1); Li, Hui (1); Wu, Huarui (1)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing 100097, China

Corresponding author:Li, H. (lih@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:97-103

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Nowadays producing and selling the counterfeited agricultural products are becoming more and more serious impact on the normal agricultural production. Study an efficient anti-counterfeiting method to protect agricultural products thoroughly from counterfeiting is of a great significance. In this paper, based on the domestic and foreign anti-counterfeiting technologies, authors proposed an anti-counterfeiting system for agricultural products using RFID technology. Furthermore authors put forward a hierarchical anti-counterfeiting strategy and established a anti-counterfeiting reverses attacking model which adopted formal analysis approach of intelligent deployment. The results showed that the proposed model was capable to locate the weakest nodes in the agricultural products anti-counterfeiting system to enhance the security strength.

Number of references:17

Main heading:Agricultural products

Controlled terms:Radio navigation

Uncontrolled terms:Agricultural productions - Anti-counterfeit - Anti-counterfeiting - Formal analysis - RF-ID tags - RFID Technology - Security strengths - Tree models

Classification code:716.3 Radio Systems and Equipment - 821.4 Agricultural Products

DOI:10.3969/j.issn.1002-6819.2009.z220

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

21.Accession number:20100312641219

Title:Design and implementation of data processing server in farm wireless sensor network

Authors:Liu, Yongsheng (1); Chen, Liping (2); Xu, Gang (2); Zhang, Ruirui (2); Wang, Zhuang (1)

Author affiliation:(1) College of Information Engineering, Capital Normal University, Beijing 100048, China; (2) Beijing Research Center for Intelligent Agricultural Equipment, Beijing 100097, China; (3) Key Laboratory of Information Technology in Agriculture, Ministry of Agriculture, Beijing 100097, China

Corresponding author:Chen, L. (chenlp@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:179-183

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Wireless sensor network is an effective method to gather the remote information and also the important part of whole wireless sensor network application system to accept and process the farmland information which is gathered by wireless sensor network. Aiming at the characteristics of data acquisition using wireless sensor network, the construction of the data processing server for the system was studied. A data processing server based on the non-blocking I/O sockets communication was designed and implemented. The server utilized the technologies of thread pool and I/O multiplexing. Cyclic queue was adopted as the data buffer, which could better solve the problems such as the multi-connection TCP communication and the high-speed concurrent processing performance of a large number of real-time monitoring data. Through using the object-oriented programming method, the class hierarchy was built up to increase the ability of code reuse.

Number of references:14

Main heading:Wireless sensor networks

Controlled terms:Data acquisition - Farms - Lakes - Multiplexing - Object oriented programming - Sensor networks - Servers - Wireless telecommunication systems

Uncontrolled terms:Class hierarchies - Code reuse - Concurrent processing - Data buffers - Farmland - High-speed - I/O multiplexing - Multi-connection - Non-blocking - Real time monitoring  - Server-based - Wireless sensor

Classification code:722.4 Digital Computers and Systems - 723 Computer Software, Data Handling and Applications - 723.1 Computer Programming - 723.2 Data Processing and Image Processing - 731.1 Control Systems - 732 Control Devices - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 722.3 Data Communication, Equipment and Techniques - 407 Maritime and Port Structures; Rivers and Other Waterways - 444.1 Surface Water - 716 Telecommunication; Radar, Radio and Television - 716.3 Radio Systems and Equipment - 717 Optical Communication - 718 Telephone Systems and Related Technologies; Line Communications - 722 Computer Systems and Equipment

DOI:10.3969/j.issn.1002-6819.2009.z2.034

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

22.Accession number:20100312641228

Title:Diagnostic indexes of NDVI at key growth stages for early rice at Yingtan, Jiangxi Province

Authors:Xue, Lihong (1); Qin, Xia (1); Li, Ganghua (2); Wang, Shaohua (2); Yang, Linzhang (1)

Author affiliation:(1) Institute of Soil Science, Chinese Acad. of Sci., Nanjing 210008, China; (2) College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China

Corresponding author:Xue, L. (lhxue@issas.ac.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:223-227

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Determination of the critical and optimum values of spectral diagnosis indexes at the different growth stages of rice is crucial for precise fertilization. NDVI values of early rice of different nitrogen rate treatments at key growth stages were measured using active spectrometer Greenseeker. Taken the grain yield as criteria, the optimum NDVI ranges and the critical NDVI values for early rice variety Zhongxuan 181 at key growth stages at Yingtan, Jiangxi province were determined with the discriminant analysis. The results showed that the optimum NDVI ranges at tillering, jointing and heading stages were 0.37-0.55, 0.76-0.80 and 0.72-0.75, respectively. According to the discriminant function, the critical NDVI values at tillering, jointing and heading stage were 0.346, 0.703 and 0.654, respectively. The critical NDVI values were tested using a dependent field experiments with 27 plots, and the correct classification ratios of yield based on the NDVI at tillering, jointing and heading stage were 63.0% (17 out of 27), 81.5% (22 out of 27) and 96.3% (26 out of 27), respectively. The results indicate that canopy NDVI at key growth stages can be used to forecast the yield potential level and as a guideline for fertilization determination. But further studies should be carried out to explore the optimum fertilizer rate for high yield under different NDVI values and establish the fertilization model based on the NDVI.

Number of references:16

Main heading:Grain growth

Controlled terms:Discriminant analysis - Interferometry - Remote sensing - Spectrum analysis - Spectrum analyzers

Uncontrolled terms:Canopy NDVI - Correct classification ratios - Discriminant functions - Fertilizer rates - Field experiment - Grain yield - Growth stages - High yield - Jiangxi Province - Model-based  - Nitrogen rate - Optimum value - Precision fertilization - Spectral diagnosis - Yield potential

Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941.4 Optical Variables Measurements - 941 Acoustical and Optical Measuring Instruments - 933.1.2 Crystal Growth - 922.2 Mathematical Statistics - 922 Statistical Methods - 921 Mathematics - 903.1 Information Sources and Analysis - 802.3 Chemical Operations - 731.1 Control Systems - 531.2 Metallography

DOI:10.3969/j.issn.1002-6819.2009.z2.043

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

23.Accession number:20100312641202

Title:Development of operating field area measurement system based on ARM7 and GPS

Authors:Zhang, Linlin (1); Chen, Shuren (1); Hu, Junwan (2); Li, Yaoming (1); Yang, Hongbo (1)

Author affiliation:(1) Key Lab. of Modern Agricultural Equipment and Technology, Ministry of Education and Jiangsu Province, Jiangsu University, Zhenjiang 212013, China; (2) School of Electronic and Information Engineering, Jiaying College, Meizhou 514015, China

Corresponding author:Chen, S. (srchen@ujs.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:83-86

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to achieve real-time measurement of operating area of farmland, the operating area measurement system of grain combine harvester was developed based on the ARM7 and the GPS. The hardware structures, including the memory, COM port and GPS access circuit were optimized. The corresponding driver was programmed with the C language. The experiment results showed that the real-time measuring system could record information including operating time, workplace, operating area and cost. At the same time, the system was not only suitable to measure areas with regular figures, but also had higher measurement accuracy for the irregular areas. The average measurement precision was 95.2%. The system provides the basis for measurement of the operating field area.

Number of references:16

Main heading:Global positioning system

Controlled terms:Farms - Geodesy - Harvesters - Planimeters - Surveying - Time measurement

Uncontrolled terms:Area measurement system - Area measuring instruments - C language - Combine harvesters - Hardware structures - Measurement accuracy - Measurement precision - Measuring instruments - Measuring systems - Operating area  - Operating fields - Operating time - Real time measurements - Record information

Classification code:943.1 Mechanical Instruments - 821.1 Agricultural Machinery and Equipment - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 943.3 Special Purpose Instruments - 716.3 Radio Systems and Equipment - 481.3 Geophysics - 405.3 Surveying - 655.2.1 Communication Satellites

DOI:10.3969/j.issn.1002-6819.2009.z2.017

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

24.Accession number:20100312641221

Title:J2ME-based collection system for agricultural production record

Authors:Zhao, Guogang (1); Zhao, Li (2); Chen, Guifen (1); Yang, Xinting (2)

Author affiliation:(1) Information Technology College, Jilin Agricultural University, Changchun 130118, China; (2) National Engineering Research Center for information Technology in Agriculture, Beijing 100097, China; (3) Key and Open Laboratory of Information Technology in Agriculture, Affiliated to the Ministry of Agriculture of China, Beijing 100097, China

Corresponding author:Yang, X. (yangxt@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:190-193

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:For the problems of production record information being collected inconveniently and in high cost found in the current agricultural production process, the production record information collection system based on J2ME in agriculture was designed and developed, which achieved information collection and data uploading such as transplanting, fertilization, pest control, irrigation, harvest of the crops. These met the needs of agricultural production record information collection. While the system was running, it solved multi-tasking complicated problems with multi-threaded technology, used the RMS data storage technology to achieve data persistence and applied temporary data storage technology to enhance the operational efficiency. The system was tested on the mobile phones which supported JAVA system. The results show that the design of information collection system based on the J2ME platform can be applied in practice, and also the system has the features, such as low cost, being easy to carry and easy to operate, high real-time advantages in data transmission, etc.

Number of references:19

Main heading:Safety factor

Controlled terms:Agricultural products - Data storage equipment - Insect control - Mobile devices - Mobile phones - Telephone - Telephone sets

Uncontrolled terms:Agricultural productions - Collection systems - Data persistence - Data storage technology - Data transmission - High costs - Information collections - Java system - Low costs - Multithreaded  - Operational efficiencies - Production record - Quality safety

Classification code:821.4 Agricultural Products - 821.2 Agricultural Chemicals - 804.2 Inorganic Compounds - 804.1 Organic Compounds - 722.1 Data Storage, Equipment and Techniques - 914.1 Accidents and Accident Prevention - 718.1 Telephone Systems and Equipment - 662.1 Automobiles - 652.1 Aircraft, General - 461.7 Health Care - 408.1 Structural Design, General - 716 Telecommunication; Radar, Radio and Television

DOI:10.3969/j.issn.1002-6819.2009.z2.036

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

25.Accession number:20100312641194

Title:Automatic monitoring system of LG-I weighing lysimeter

Authors:Yan, Jingze (1); Li, Yiping (1); Deng, Zuqin (1); Wang, Sheng (1); Liu, Hongyi (1); Yang, Qiguo (1); Li, Xiaoping (2)

Author affiliation:(1) Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou Institute of Arid Meteorology of China Meteorological Administration, Lanzhou 730020, China; (2) Information Center of Gansu Meteorological Bureau, Lanzhou 730020, China

Corresponding author:Yan, J. (yanjingz1@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:43-48

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to determine the evapotranspiration of plants easily and effectively, and provide easy-used apparatus which had high precision and good stability for studying on water use, the automatic monitoring system of large weighing lysimeter (LG-I) was designed. The system adopts self-developed high-precision spring, high precision cantilever beam (SQC-A500 kg) sensor, verticle lift bracket and computer software-controlled processing program. The experimental results showed that the precision, stability and repeating ability of the apparatus were all better compared with the similar lysimeter used in China. Its maximum absolute error was from -25 g to 25 g, which was equivalent to 0.012 mm column. Its maximum relatively error was 0.7%. The apparatus could meet with the applying requirement. The data of the system can reflect evapotranspiration variation in a short time, so it is a sort of instrument which can monitor evapotranspiration of potted plant conveniently.

Number of references:13

Main heading:Monitoring

Controlled terms:Computer control systems - Evapotranspiration - Lysimeters - Sensors - Soil surveys - System stability - Water supply - Weighing

Uncontrolled terms:Automatic monitoring-system - Good stability - High precision - Maximum absolute error - Monitoring system - Water use

Classification code:802.3 Chemical Operations - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 801 Chemistry - 943 Mechanical and Miscellaneous Measuring Instruments - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 961 Systems Science - 943.3 Special Purpose Instruments - 732.2 Control Instrumentation - 444.1 Surface Water - 446.1 Water Supply Systems - 483.1 Soils and Soil Mechanics - 406.2 Roads and Streets - 631.1 Fluid Flow, General - 731.1 Control Systems - 731.4 System Stability - 723.5 Computer Applications

DOI:10.3969/j.issn.1002-6819.2009.z2.009

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

26.Accession number:20100312641242

Title:Coding system, traceability and safety production of tea based on WebGIS

Authors:Deng, Xunfei (1); Wang, Kairong (2); Chen, Xiaojia (1); Lv, Xiaonan (1); Ma, Wanzhu (1); Ren, Zhouqiao (1)

Author affiliation:(1) Institute of Soil and Fertilizer, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; (2) Ningbo Technology Extention Center for Forestry and Specialty Forest Products, Ningbo 315010, China

Corresponding author:Lv, X. (luxn@zaas.org)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:303-307

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:A reasonable coding system of tea production places is the foundation for safety production and traceability of tea. A coding system of tea product places was proposed, which was based on environmental assessment, soil properties and distributing of tea planting. And the way of combing regional code with parcel code was adopted. According to coding system, the production, processing and circulation of tea were joined together with WebGIS technology, which integrated tea production and circulation information with spatial data of tea production places. Finally, an archetypal management information system "From Farm to Table" was developed. Quality safety production, traceability of tea products and circulation information were achieved reliably in Ningbo tea as a case study. The research can also provide scientific reference and basis for code design and safety production and traceability of other farm products.

Number of references:17

Main heading:Quality control

Controlled terms:Agriculture - Bar codes - Customer satisfaction - Geographic information systems - Information systems - Knowledge management - Management information systems - Signal encoding - Total quality management

Uncontrolled terms:Code designs - Coding system - Environmental assessment - Quality safety - Regional code - Safety production - Soil property - Spatial data - Web-GIS

Classification code:922.2 Mathematical Statistics - 913.3 Quality Assurance and Control - 912.2 Management - 912 Industrial Engineering and Management - 903.3 Information Retrieval and Use - 903.2 Information Dissemination - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 723.5 Computer Applications - 723.3 Database Systems - 723.2 Data Processing and Image Processing - 716.1 Information Theory and Signal Processing

DOI:10.3969/j.issn.1002-6819.2009.z2.057

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

27.Accession number:20100312641210

Title:Analysis on temporal behaviour of rice backscatter based on ENVISAT ASAR images

Authors:Shen, Shuanghe (1); Yang, Shenbin (1); Li, Bingbai (2); Tan, Bingxiang (3); He, Wei (4)

Author affiliation:(1) College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China; (2) Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China; (3) Institute of Forest Resources Information Technique, Chinese Academy of Forestry, Beijing 100091, China; (4) Information Center of the Ministry of Land and Resources, Peoples Republic of China, Beijing 100812, China

Corresponding author:Yang, S. (jaasyang@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:130-136

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Combined with field experiments of rice in Lixiahe region of Jiangsu Province in 2004 and 2006, temporal behavior of rice backscatter was analyzed based on multi-polarization advanced synthetic aperture radar (ASAR) data with incidence angle of 23°, together with the analysis of relationships between rice backscatter coefficient and rice growth parameters such as leaf area index, fresh biomass, and plant height×plant water content, for the further work on rice parameter inversion and research of rice backscatter physical mechanism. Meanwhile, temporal behavior of σ° HH/VV and relationships between σ° HH/VV and rice parameters were also analyzed. As a result, VV and HH backscatter before rice heading stage showed quite different temporal behavior from those after rice heading stage. σ° HH/VV increased with rice growth, and then decreased at ripening stage that indicated the noticeable difference between VV and HH backscatter in the whole rice cycle. The correlation coefficients of rice backscatter coefficient of VV and HH polarization and the chosen rice growth parameters all reached above 0.75, however, the correlation coefficient was above 0.9 between rice backscatter coefficient of VV and HH polarization and rice fresh biomass. Otherwise, the strong relationship between σ° HH/VV and rice growth parameters is observed in the paper with correlation coefficients of above 0.85, which shows that σ° HH/VV can be considered as a new variable in rice parameter inversion based on multi-polarization radar data.

Number of references:23

Main heading:Time domain analysis

Controlled terms:Backscattering - Imaging systems - Plants (botany) - Polarization - Radar - Remote sensing - Synthetic aperture radar - Synthetic apertures - Water analysis - Water content

Uncontrolled terms:Advanced synthetic aperture radars - ASAR - Backscatter coefficients - Correlation coefficient - ENVISAT ASAR - Field experiment - Growth parameters - Incidence angles - Jiangsu province - Leaf Area Index  - Multi-polarization - Parameter inversion - Physical mechanism - Plant height - Plant water content - Temporal behavior - Temporal behaviour

Classification code:723.2 Data Processing and Image Processing - 731.1 Control Systems - 741 Light, Optics and Optical Devices - 921 Mathematics - 741.1 Light/Optics - 751.1 Acoustic Waves - 801 Chemistry - 746 Imaging Techniques - 716.2 Radar Systems and Equipment - 711.1 Electromagnetic Waves in Different Media - 444 Water Resources - 445.2 Water Analysis - 461.9 Biology - 701.1 Electricity: Basic Concepts and Phenomena - 703.1.1 Electric Network Analysis - 711 Electromagnetic Waves

DOI:10.3969/j.issn.1002-6819.2009.z2.025

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

28.Accession number:20100312641223

Title:Design of forecasting and alarming device for pear scab infection based on the VenInf model

Authors:Li, Juan (1); Li, Baohua (2); Zheng, Haiju (1)

Author affiliation:(1) College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China; (2) College of Agronomy and Plant Protection, Qingdao Agricultural University, Qingdao 266109, China

Corresponding author:Li, J. (lijuan291@sina.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:199-203

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to timely prevent and effectively control the occurrence of pear scab, a portable infection forecasting and alarming device, which could real-time forecast the Venturia nashicola infection quantity, was designed. By making use of the core component MCU STC89C52RC and the temperature and humidity intelligent sensor SHT15, the real-time data acquisition of temperature and humidity was realized. The relative infection quantity of Venturia nashicola was real-time calculated according to the acquired temperature and humidity, and the real-time forecasting and alarming of Venturia nashicola was realized by using of the infection quantity. The forecasting and alarming device has the feature of simple operation, friendly interface, convenient carry and high performance-cost ratio. Experiments have demonstrated that the designed forecasting and alarming device has a high forecast precision, which provided a scientific basis for preventing plant diseases timely for fruit growers.

Number of references:14

Main heading:Forecasting

Controlled terms:Fruits - Moisture

Uncontrolled terms:Core components - Forecast precision - Intelligent sensors - Performance-cost ratio - Plant disease - Real-time data acquisition - Real-time forecasting - Real-time forecasts - Simple operation

Classification code:443.1 Atmospheric Properties - 801.4 Physical Chemistry - 821.4 Agricultural Products - 912.2 Management - 921 Mathematics - 922.2 Mathematical Statistics

DOI:10.3969/j.issn.1002-6819.2009.z2.038

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

29.Accession number:20100312641197

Title:Simulation analysis of tire force of wheeled tractor under typical road conditions

Authors:Xu, Feijun (1); Huang, Wenqian (1); Chen, Liping (1)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Key and Open Laboratory of Information Technology in Agriculture, Affiliated to the Ministry of Agriculture of China, Beijing 100097, China

Corresponding author:Chen, L. (chenlp@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:61-65

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to study the force on tire of wheeled tractor on typical road conditions, a simulation model of wheeled tractor was built using the multi-body dynamics software RecurDyn. The model consisted of four wheels, fore and rear axles, and a body frame, and the axles were imposed on certain load appropriately. An interaction model between tires and soft soil was established using the Fiala tire module of RecurDyn. The simulations of displacement and force of the tires were conducted on 20° upslope, 44° ultimate upslope, 20° downslope and 34° ultimate downslope roads respectively. The tire force that the wheeled tractor run over a cylindrical obstacle was analyzed under two different speeds. Results showed that the difference of the impact forces applied on the front wheel was obvious on different slope roads. The maximum impact force of the front wheel on 44° upslope was 67.73% higher than that on 20° upslope. The maximum impact force of the front wheel on 34° downslope decreased by 8% compared with that on 20° downslope. The maximum force of the front wheel decreased by 16.13% when the wheeled tractor over a cylindrical obstacle with the speeds decreasing from 1.356 m/s to 0.678 m/s. The analysis results provided references for the study on the tire force of wheeled tractor.

Number of references:15

Main heading:Tires

Controlled terms:Axles - Computer software - Geologic models - Roads and streets - Tractors (agricultural) - Tractors (truck) - Wheels

Uncontrolled terms:Analysis results - Body frames - Different slopes - Different speed - Downslope - Front wheels - Impact force - Interaction model - Multi-body dynamic - Rear axle  - Road condition - Shafts - Simulation analysis - Simulation model - Soft soils - Tire forces - Wheeled tractor

Classification code:818.5 Rubber Products - 723 Computer Software, Data Handling and Applications - 682.1.1 Railroad Cars - 663.2 Heavy Duty Motor Vehicle Components - 821.1 Agricultural Machinery and Equipment - 663.1 Heavy Duty Motor Vehicles - 601.2 Machine Components - 481.1 Geology - 406.2 Roads and Streets - 662.4 Automobile and Smaller Vehicle Components

DOI:10.3969/j.issn.1002-6819.2009.z2.012

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

30.Accession number:20100312641203

Title:LabVIEW-based telemetering experiments of rice feed quantity for combined harvester

Authors:Jie, Zhan (1); Luo, Sibei (1); Zhou, Xuejian (1)

Author affiliation:(1) Vehicle and Motive Power Engineering College, Henan University of Science and Technology, Luoyang 471003, China

Corresponding author:Jie, Z. (kdjz@mail.haust.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:87-91

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Utilizing virtual instrument technology, a telemetering system of combine feed quantity was developed based on LabVIEW software, and simulation tests on rice platform were conducted successfuly. Through the tests, the applicability of feed quantity sensor based on the testing principle of extruding force was proved, and the linear mathematical model for testing rice feed quantity was preliminarily set up. The testing results provide the scientific basis and technical means for field experiments on real-time measuring of feed quantity of GPS combine .

Number of references:16

Main heading:Telemetering systems

Controlled terms:Computer programming languages - Computer software - Experiments - Harvesters - Mathematical models

Uncontrolled terms:Combine harvesters - Extruding force - Feed quantity - Field experiment - LabViEW - LabVIEW software - Simulation tests - Testing results - Virtual instrument technology

Classification code:901.3 Engineering Research - 821.1 Agricultural Machinery and Equipment - 732.1 Control Equipment - 731.2 Control System Applications - 921 Mathematics - 723.1.1 Computer Programming Languages - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 723 Computer Software, Data Handling and Applications

DOI:10.3969/j.issn.1002-6819.2009.z2.018

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

31.Accession number:20100312641222

Title:Performance simulation of 915 MHz direct sequence spread spectrum system in maize fields

Authors:Chi, Lianjiang (1); Gao, Hongju (1); Sun, Yurui (1)

Author affiliation:(1) College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

Corresponding author:Gao, H. (hjgao@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:194-198

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In terms of wireless sensor networks (WSN) for agricultural applications, whether the transceiver using direct sequence spread spectrum (DSSS) technology can meet the requirements of cropland environments needs further investigation. Using Simulink, the 915 MHz DSSS system with the wireless channel in cropland environments was simulated. The clustered Rayleigh model was adopted for multipath fading, which was modified from the Saleh-Valenzuela model, and large-scale path loss model was obtained from the field test data in the cropland with maize in mature growth stage. It is found that the small-scale multipath fading affects the system performance greatly, and the DSSS system could compensate the effect of multipath fading to a certain extent. However, in the cropland with severe multipath fading phenomena, the compensation capacity was limited, and the system performance was only good (bit error rate <5%) within short transmission range (<80 m). It was very hard to meet the requirements of wireless sensor networks for agricultural information acquisition in wide-area croplands. Although spread spectrum technology has been widely employed in the design of WSN nodes, it is not an optimal solution for the agricultural applications in croplands with worse transmission environments.

Number of references:15

Main heading:Wireless sensor networks

Controlled terms:Adaptive antenna arrays - Adaptive filtering - Bit error rate - Computer crime - Computer simulation - Error compensation - Multipath fading - Packet networks - Sensor networks - Spectroscopy  - Wide area networks - Wireless telecommunication systems

Uncontrolled terms:Agricultural applications - Cropland environment - Direct sequence spread spectrum - Direct sequence spread spectrum system - DSSS systems - Field test data - Growth stages - Information acquisitions - Optimal solutions - Path loss models  - Performance simulation - RAKE receiver - Rayleigh models - Saleh-Valenzuela model - Simulink - Spread spectrum technology - Transmission environment - Transmission ranges - Wide area - Wireless channel

Classification code:723.5 Computer Applications - 731.1 Control Systems - 732 Control Devices - 723.1 Computer Programming - 801 Chemistry - 931.3 Atomic and Molecular Physics - 932.2 Nuclear Physics - 902.3 Legal Aspects - 723 Computer Software, Data Handling and Applications - 716 Telecommunication; Radar, Radio and Television - 716.3 Radio Systems and Equipment - 717 Optical Communication - 711.2 Electromagnetic Waves in Relation to Various Structures - 718 Telephone Systems and Related Technologies; Line Communications - 722.3 Data Communication, Equipment and Techniques - 722.4 Digital Computers and Systems - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory

DOI:10.3969/j.issn.1002-6819.2009.z2.037

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

32.Accession number:20100312641237

Title:Index system and methods of monitoring gradation of agricultural land quality

Authors:Chen, Baisong (1); You, Juan (1); Pan, Yuchun (2); Wang, Jihua (2)

Author affiliation:(1) School of Geography, Beijing Normal University, Beijing 100875, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China

Corresponding author:Wang, J. (wangjh@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:272-276

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:For agricultural land, it is the foundation of achieving sustainable exploitation and utilization and keeping balance of requisition-compensation that obtaining the information of agriculture land gradation and its quality in real-time by the land gradation monitoring. Based on the existing agricultural land gradation monitoring indices system, variable indices which caused agriculture land gradation and quality changes were picked out according to analysis on the variability of indices. Authors analyzed driving forces which caused the changes of variable indices, and screened out the indices that could be used to monitor directly or indirectly and estimate agriculture land gradation and quality with consideration of the present monitoring technologies or driving force factors. Agricultural land gradation and quality monitoring index system were constructed and the relevant monitoring method was presented. The results indicated that constructed index system had strong regional characteristics for fully considering the difference of the driving forces in different sub-areas. Compared with traditional monitoring methods, the method in the research are more practical.

Number of references:16

Main heading:Monitoring

Controlled terms:Agriculture

Uncontrolled terms:Agricultural land - Driving forces - Index systems - Monitoring index - Monitoring methods - Monitoring technologies - Quality change - Quality monitoring - Regional characteristics - Sub-areas  - Sustainable exploitation

Classification code:821 Agricultural Equipment and Methods; Vegetation and Pest Control - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments

DOI:10.3969/j.issn.1002-6819.2009.z2.052

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

33.Accession number:20100312641206

Title:Development and application of portable precision farming system

Authors:Liu, Xiaojun (1); Zhu, Yan (1); Qiu, Xiaolei (1); Jiang, Haiyan (1); Cao, Weixing (1)

Author affiliation:(1) Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China

Corresponding author:Zhu, Y. (yanzhu@njau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:104-109

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to realize the portable and digital crop production management, based on the theory of precision agriculture and the precision crop management model, a Pocket PC-based portable precision farming system (PPFS) was developed by integrating Pocket PC, embedded-GIS, SQL Server CE and GPS, using the thought of system engineering and software component technology. The system realized the functions such as map handling, information management, cultural plans design, fertilizer and water management ect, suitable growth indices design, real-time regulations based on the crop growth status, and system help. In 2007-2008, the demonstration and application of PPFS were carried out in Jiangsu, Zhejiang and Henan provinces. The results in field experiments indicated that the system could design suitable crop precision management schemes according to field factual status, the average rice yield with precision management plans was 10435.3 kg/hm² with increasing rate being 12.83%; Based on precision management plans, the wheat yield rose by 9.02% with an average yield of 8124.6 kg/hm² and the amount of nitrogen fertilizer reduced. The present work provides a new service platform and application pattern for precision farming management.

Number of references:17

Main heading:Precision engineering

Controlled terms:Artificial intelligence - Crops - Cultivation - Decision making - Decision support systems - Decision theory - Embedded software - Geographic information systems - Global positioning system - Hand held computers  - Industrial management - Information management - Laws and legislation - Nitrogen fertilizers - Water management

Uncontrolled terms:Average yield - Crop growth - Crop managements - Crop production - Embedded GIS - Henan Province - In-field - Management plans - Management scheme - New services  - Pocket-PC - Precision Agriculture - Precision farming - Rice yield - Software component technology - Sql server ce - System engineering - Wheat yield - Zhejiang

Classification code:821.4 Agricultural Products - 902.2 Codes and Standards - 902.3 Legal Aspects - 903.2 Information Dissemination - 903.3 Information Retrieval and Use - 821.3 Agricultural Methods - 912.2 Management - 922.2 Mathematical Statistics - 943.3 Special Purpose Instruments - 961 Systems Science - 971 Social Sciences - 921 Mathematics - 821.2 Agricultural Chemicals - 446 Waterworks - 655.2.1 Communication Satellites - 714.2 Semiconductor Devices and Integrated Circuits - 716.3 Radio Systems and Equipment - 722.4 Digital Computers and Systems - 444 Water Resources - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 741.3 Optical Devices and Systems - 761 Nanotechnology - 804 Chemical Products Generally - 723.3 Database Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.021

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

34.Accession number:20100312641208

Title:Precision manmade fruiter model based on LAI test

Authors:Wu, Weibin (1); Hong, Tiansheng (1); Li, Zhen (1); Zhang, Wenzhao (1); Liu, Minjuan (1); Lun, Zhaoqiang (1)

Author affiliation:(1) Key Laboratory of Key Technology for South Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou 510642, China; (2) College of Engineering, South China Agricultural University, Guangzhou 510642, China

Corresponding author:Hong, T. (tshong@scau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:118-122

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Manmade fruiters provide fixed and standard objects in the ground-based leaf area index and biomass measurement for avoiding time and space effect on the real fruiter in the real environment. Firstly, the coordinates of the real guava's leaves and branches were gained by 3D digitalizer named Polhemus Fastrak. Secondly, a manmade guava was made with a kind of special simulating techniques which was applied for Chinese patent. By means of digital pictures, coordinates of leaves and braches and virtual guava, the manmade tree has been adjusted many times over three months to reach the simulating effect. Finally, the man-made tree was compared and analyzed with the real one in parts such as coordinates, height, leaf area, shadowed area distribution. As a result of analysis by SPSS software, for the manmade guava the R square between tree height and accumulative leaf area is 0.9892 and the R square between shadowed area and accumulative leaf area is 0.9973. Additionally, for error analysis between the real one and the manmade one, the profile is basically the same by comparing digital pictures in different visions and the profile size error is less than 3%; the coordinates of leaves obey the normal school after analyzing 3014 leaf points and 9042 coordinate points; the accumulative leaf area error is less than 5% and accumulative shadowed area error is less than 20% from 0 to 65 cm of the tree height.

Number of references:10

Main heading:Three dimensional

Controlled terms:Computational methods - Error analysis - Forestry - Virtual reality

Uncontrolled terms:Biomass measurements - Digital picture - Ground based - Guava fruiter - Leaf area - Leaf Area Index - Manmade fruiter - Model-based - R square - Real environments  - Time and space - Tree height

Classification code:921.6 Numerical Methods - 921 Mathematics - 902.1 Engineering Graphics - 821.0 Woodlands and Forestry - 723.5 Computer Applications - 723 Computer Software, Data Handling and Applications - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory

DOI:10.3969/j.issn.1002-6819.2009.z2.023

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

35.Accession number:20100312641215

Title:Weed detection method based the centre color of corn seedling

Authors:Mao, Wenhua (1); Wang, Hui (1); Zhao, Bo (1); Zhang, Yinqiao (1); Zhou, Peng (1); Zhang, Xiaochao (1)

Author affiliation:(1) Institute of Mechatronics Technology and Application, Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China

Corresponding author:Mao, W. (mwh-924@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:161-164

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:A novel method for weed detection using the color feature of corn seedling was developed. The leaves of corn seedling were dark green, but its centre zone was peak green. The unique feature could be reflected by the saturation index, which depended upon the relative dominance of pure hue in a color sample. The saturation of centre zone had a maximum saturation value for corn seedling. That was used to extract the centre zone of corn seedling after soil background was segmented with the green-red index. For the segmented foreground of green seedling, the connected region with the extracted centre zone was classified as corn seedling. On the contrary, the unconnected region with them was recognized as weed. The results showed that the correct classification rate of corn plant and weed was 88% and 84%, respectively. For a frame image with 720 times;576 pixels was processed, the mean processing time was only 120 ms. The correct classification rate of corn plant was mainly influenced by the integrity of centre zone, whereas the correct classification rate of weed was mainly affected by the occluding degree of corn and weed leaves. Therefore, the future work will be on the control of field view and the segmentation of occluding leaves of corn and weed.

Number of references:16

Main heading:Weed control

Controlled terms:Color - Computer vision - Crops - Imaging systems

Uncontrolled terms:A-frames - Centre of seedlings - Classification rates - Color characteristics - Color features - Color samples - Connected region - Corn plant - Mean processing time - Novel methods  - Saturation index - Saturation values - Unique features - Weed detection

Classification code:821.4 Agricultural Products - 821.2 Agricultural Chemicals - 803 Chemical Agents and Basic Industrial Chemicals - 746 Imaging Techniques - 741.2 Vision - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 731.6 Robot Applications - 723.5 Computer Applications - 723.2 Data Processing and Image Processing - 681.1 Railway Plant and Structures, General - 407.2 Waterways - 406.2 Roads and Streets

DOI:10.3969/j.issn.1002-6819.2009.z2.030

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

36.Accession number:20100312641212

Title:Comparison of spectral reflectance characteristics of two main grassland types in Gansu province

Authors:Zhang, Kai (1); Guo, Ni (1); Wang, Runyuan (1); Si, Jianhua (3)

Author affiliation:(1) Key Laboratory of Arid Climatic Changing and Reducing Disaster of Gansu Province, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China; (2) Key Open Lab. of Arid Climate Change and Disaster Reduction of China Meteorological Administration, Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China; (3) Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Acad. of Sci., Lanzhou 730000, China

Corresponding author:Zhang, K. (lanzhouzhk@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:142-148

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:The arid desert meadow and alpine meadow are two main grassland types of Gansu province. From 2005 to 2007, spectral reflectance were measured in Anxi grassland and Maqu grassland. The spectral reflectance characteristics and differences of two main grassland types were analyzed and compared. The results showed that the canopy spectral reflectance of desert meadow was bigger than that of alpine meadow in the visible waves, while in the near infrared waves, that of desert meadow was smaller than that of alpine meadow. The differences of spectral reflectance between different vegetations that belong to the same type were significant in the near infrared waves. The canopy spectral reflectance of desert meadow was clearly smaller than the leaf spectral reflectance, while the canopy spectral reflectance of alpine meadow was bigger than the leaf spectral reflectance in the visible waves and the near infrared waves. The growing status of the same vegetation had great impact on their canopy spectral reflectance. The value of red edge parameters of alpine meadow was bigger than those of desert meadow. In conclusion, hyperspectral remote sensing can be effectively applied to classification and growth monitoring of grassland.

Number of references:18

Main heading:Vegetation

Controlled terms:Infrared devices - Interferometry - Landforms - Reflection - Remote sensing - Spectrum analysis - Spectrum analyzers

Uncontrolled terms:Alpine meadow - Canopy spectral reflectance - Desert meadow - Gansu province - Growth monitoring - Hyperspectral remote sensing - Near Infrared - Red edge - Red edge characteristic - Red edge parameters  - Spectral reflectances

Classification code:921 Mathematics - 922.2 Mathematical Statistics - 941 Acoustical and Optical Measuring Instruments - 941.4 Optical Variables Measurements - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 461.9 Biology - 481.1 Geology - 525.1 Energy Resources and Renewable Energy Issues - 711 Electromagnetic Waves - 731.1 Control Systems - 741.1 Light/Optics - 741.3 Optical Devices and Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.027

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

37.Accession number:20100312641226

Title:Identification method of rice leaf blast using multilayer perception neural network

Authors:Liu, Libo (1); Zhou, Guomin (1)

Author affiliation:(1) Institute of Agricultural Information, Chinese Academy of Agriculture Sciences, Beijing 100081, China; (2) College of Mathematics and Computer, Ningxia University, Yinchuan 750021, China

Corresponding author:Zhou, G. (zhougm@mail.caas.net.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:213-217

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to achieve the rapid diagnosis of rice leaf blast, authors utilized image processing techniques and neural network comprehensively for the recognition of leaf blast lesion. For the accuracy rate of comparative analysis on lesion identification, three multilayer perception classifiers were designed. Three features of normal and lesion part which were texture, color and combined feature of texture and color were selected as input unit for different classifier respectively. Output layer adopted one unit for the identify results of lesion and normal region. First of all, grayscale image was transformed from RGB image, using gray level co-occurrence matrix to extract energy, contrast, entropy, inverse gap as texture features from leaf lesion region and normal region respectively. The RGB color space was transformed to HIS and Lab space, and L, a, b values were extracted as color features from lesion area and normal region respectively, using different BP neural network classifier to identify lesion region.120 images were selected as test objects. The experimental results showed that if the combined feature of color and texture was used as input parameters, the accuracy rate would be 10%-15% higher than that of texture features and color features alone. The results of this paper laid a foundation for realization of the automatic diagnosis of rice diseases.

Number of references:10

Main heading:Multilayer neural networks

Controlled terms:Classifiers - Color - Diagnosis - Feature extraction - Image enhancement - Image recognition - Multilayers - Textures

Uncontrolled terms:Accuracy rate - Automatic diagnosis - B value - BP neural network classifier - Color features - Combined features - Comparative analysis - Gray level co-occurrence matrix - Gray-scale images - Identification method  - Image processing technique - Input parameter - Multi-layer perception - Multilayer perception neural networks - Output layer - RGB color space - RGB images - Rice leaf - Rice leaf blast - Test object  - Texture features

Classification code:933.1 Crystalline Solids - 933 Solid State Physics - 813.2 Coating Materials - 802.1 Chemical Plants and Equipment - 751.1 Acoustic Waves - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 723.5 Computer Applications - 723.4 Artificial Intelligence - 723.2 Data Processing and Image Processing - 716 Telecommunication; Radar, Radio and Television - 461.6 Medicine and Pharmacology - 461.1 Biomedical Engineering

DOI:10.3969/j.issn.1002-6819.2009.z2.041

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

38.Accession number:20100312641211

Title:Estimation of cotton canopy chlorophyll density and leaf area index based on red-edge parameters

Authors:Huang, Chunyan (1); Wang, Dengwei (1); Zhang, Yuxing (2)

Author affiliation:(1) Key Laboratory of Oasis Ecology Agriculture of Xinjiang Bingtuan, College of Agronomy, Shihezi University, Shihezi 832003, China; (2) Academy of Biological Engineering, Shihezi University, Shihezi 832003, China

Corresponding author:Wang, D. (wdw_agr@shzu.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:137-141

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Hyperspectral reflectance data were recorded at main growth stages of cotton in a field experiment including two cultivars with four planting patterns in two years study. By using spectral derivative analysis, red-edge parameters such as area of red edge (SDr), the slope of red edge value (Dr) and corresponding red edge position (λr) were obtained at bands of 680 nm to 750 nm, then the correlation between area of red edge, the slope of red edge and chlorophyll density (CH.D), leaf area index (LAI) were analyzed respectively. The results showed that they were all significant positive correlation at 1% lever; moreover, there was the highest correlation (RCH.D=0.8787**, n=137) between area of red edge and chlorophyll density. Using area of red edge to estimate chlorophyll density, leaf area index, the former had a higher precision than the latter did. Utilizing established model equation between area of red edge and chlorophyll density in cotton varieties of Xin Luzao No.19, Xin Luzao No.13 to derive their chlorophyll density, precision of estimated chlorophyll density of cotton two varieties were 87.4% and 83.3% respectively. The research shows that it is a simple, effective and non-destructive method to use red-edge parameters obtaining the canopy information of CH.D and LAI.

Number of references:20

Main heading:Chlorophyll

Controlled terms:Agriculture - Cotton - Plants (botany) - Porphyrins - Remote sensing

Uncontrolled terms:Canopy chlorophyll - Derivative analysis - Field experiment - Growth stages - HyperSpectral - Hyperspectral reflectance - Leaf Area Index - Model equations - Nondestructive methods - Positive correlations  - Red edge - Red edge parameters - Red edge position

Classification code:821.4 Agricultural Products - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 819.1 Natural Fibers - 804.1 Organic Compounds - 801.2 Biochemistry - 731.1 Control Systems - 461.9 Biology

DOI:10.3969/j.issn.1002-6819.2009.z2.026

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

39.Accession number:20100312641244

Title:Greened potatoes detection based on hue threshold division

Authors:Yu, Xiaojuan (1); Liao, Guiping (1); Li, Jinwei (1); Jin, Jing (1)

Author affiliation:(1) College of Information Science Technology, Hunan Agricultural University, Changsha 410128, China

Corresponding author:Liao, G. (lgpxf@yahoo.com.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:314-319

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Green rind is one kind of the quality defects of potato. This paper put forward a method based on the hue threshold to detect green rind of potato, and extract the color information from the quantitative perspective. The models of stepwise discriminated analysis based on the statistical and support vector machine have disadvantages of the unsteady results due to the limitations of characteristics space of a particular sample set. To overcome the foregoing methods shortcomings, the new method extracted hue as features, confirmed effective range of hue 57 to 64 which could distinguish normal potatoes and greened ones. With the second threshold discrimination, the results showed that the method had the characteristics of simple, high detection accuracy rate and stable.

Number of references:18

Main heading:Agricultural products

Controlled terms:Color - Color image processing - Computer vision - Imaging systems - Vector spaces

Uncontrolled terms:Color images - Color information - Detection accuracy - Effective range - Quality defects - Sample sets - Vision pattern

Classification code:921 Mathematics - 821.4 Agricultural Products - 746 Imaging Techniques - 741.2 Vision - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 731.6 Robot Applications - 723.5 Computer Applications - 723.2 Data Processing and Image Processing

DOI:10.3969/j.issn.1002-6819.2009.z2.059

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

40.Accession number:20100312641200

Title:Positioning method for automatic navigation of agricultural vehicle

Authors:Zhang, Man (1); Zhou, Jianjun (1); Ji, Ying (1); Chen, Yan (1); Liu, Gang (1); Liu, Chunhong (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, China Agricultural University, Beijing 100083, China

Corresponding author:Zhang, M. (cauzm@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:74-77

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Automatic navigation technology for agricultural vehicle can improve position accuracy of the vehicle effectively and realize large-scale production of cropland. An electric bicycle was adopted as experimental platform and system performance with two positioning methods of automatic navigation respectively was analyzed, the one was GPS positioning method and the other was the method based on a fusion of two data source (RTD DGPS and digital compass) by Kalman filter. RTK DGPS and RTD-DGPS were equipped on the vehicle to collect position data, and the data of RTK DGPS was used as standard trajectory. Synthesized weighting values were calculated, which were 0.006 and 0.002 for the GPS positioning method and the fusion method by Kalman filter respectively. The results showed that the fusion method by Kalman filter had a higher accuracy and a better stability than GPS positioning method.

Number of references:11

Main heading:Vehicles

Controlled terms:Agriculture - Global positioning system - Kalman filters - Navigation - Resonant tunneling - Semiconductor diodes - Temperature measuring instruments

Uncontrolled terms:Agricultural vehicles - Automatic navigation - Data source - Digital compass - Electric bicycles - Evaluation - Experimental platform - Fusion methods - GPS positioning method - Large-scale production  - Position accuracy - Position data - Positioning methods - Testing vehicles

Classification code:716.1 Information Theory and Signal Processing - 716.3 Radio Systems and Equipment - 731.1 Control Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 931.3 Atomic and Molecular Physics - 943.3 Special Purpose Instruments - 944.5 Temperature Measuring Instruments - 714.2 Semiconductor Devices and Integrated Circuits - 431.5 Air Navigation and Traffic Control - 432 Highway Transportation - 434.4 Waterway Navigation - 655.1 Spacecraft, General - 655.2.1 Communication Satellites - 703.2 Electric Filters - 712.1 Semiconducting Materials

DOI:10.3969/j.issn.1002-6819.2009.z2.015

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

41.Accession number:20100312641227

Title:Expert system of goat disease diagnosis with dual-reasoning-kernel

Authors:Tan, Wenxue (1); Xi, Jinju (1); Wang, Jingren (2)

Author affiliation:(1) College of Computer Science, Hunan University of Arts and Science, Changde 415000, China; (2) School of Life Sciences, Hunan University of Arts and Science, Changde 415000, China

Corresponding author:Tan, W. (twxecgi@gmail.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:218-222

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Expert Systems have been widely used in the field of diagnosis of animal diseases and crop pests. For the purpose of helping the local veterinaries to diagnose goat disease, authors constructed expert system and proposed dual-core diagnosis mechanism of inference engine, which is the credibility factor associated with the weighted forecast reasoning and machine learning Bayesian which supports reasoning algorithms, The prototype system was constructed, and some field experiments were carried out. Experimental results showed that in contrast to the traditional-single reasoning mechanism, the model of dual-reasoning-kernel can significantly improve inference accuracy and the utilization rate of knowledge, whose comprehensive accurate rate reached 90%. The system filled the gap of contrast and achieved satisfactory results.

Number of references:20

Main heading:Inference engines

Controlled terms:Bayesian networks - Diagnosis - Distributed parameter networks - Forecasting - Intelligent networks - Learning algorithms - Problem solving

Uncontrolled terms:Animal disease - Bayesian - Disease diagnosis - Dual-core - Field experiment - Machine-learning - Prototype system - Reasoning algorithms - Reasoning mechanism - Utilization rates

Classification code:921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 921 Mathematics - 912.2 Management - 723.4.1 Expert Systems - 723.4 Artificial Intelligence - 922.2 Mathematical Statistics - 723 Computer Software, Data Handling and Applications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 703.1 Electric Networks - 461.6 Medicine and Pharmacology - 718 Telephone Systems and Related Technologies; Line Communications

DOI:10.3969/j.issn.1002-6819.2009.z2.042

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

42.Accession number:20100312641231

Title:Soil nitrate nitrogen sensing for tea garden based on diffuse reflectance spectroscopy

Authors:Hu, Yongguang (1); Li, Pingping (1); Wu, Caicong (2); Chen, Bin (1)

Author affiliation:(1) Key Lab. of Modern Agricultural Equipment and Technol., Ministry of Education and Jiangsu Province, Jiangsu University, Zhenjiang 212013, China; (2) Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China

Corresponding author:Li, P. (lipingping@ujs.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:240-244

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Authors researched the method of soil nitrate nitrogen content determination with diffuse reflectance spectroscopy for its rapidness and accuracy. The portable spectroradiometer, FieldSpec 3 with a full spectral wavelength of 400-2500 nm, was used to scan diffuse reflectance spectra of soil samples. Eighty-nine soil samples were selected according to different soil fertility, depth and sites, which covered wide range of nitrate nitrogen content. Soil samples were air-dried and sieved through 1-mm screen holes after grinding. Data validity of original spectra was checked and averaged. Sixty-three samples were used to establish the calibration model with the methods of standing-wave ratio after the cluster analysis by partial least squares. Ten samples were used to establish the prediction set and the calibration model was validated. After being preprocessed by the combination of first-order derivative and moving average filter, the calibration model with fifteen principal component factors was regarded as the best with the algorithm of principal constituent analysis and artificial neural networks, and the correlation coefficient of the calibration model was 0.9908. The root mean square error of calibration was 1.4528. The correlation coefficient between predicted values and real values was 0.7179. The results show that soil nitrate nitrogen content can be determined precisely with visible-near infrared spectra.

Number of references:19

Main heading:Infrared spectroscopy

Controlled terms:Agricultural products - Calibration - Cluster analysis - Geologic models - Infrared devices - Near infrared spectroscopy - Neural networks - Nitrates - Nitrogen - Principal component analysis  - Reflection - Soil surveys - Soils - Spectrum analysis

Uncontrolled terms:Artificial Neural Network - Calibration model - Correlation coefficient - Data validity - Diffuse reflectance spectroscopy - Diffuse reflectance spectrum - First-order derivative - Moving average filter - Nitrate nitrogen - Partial least squares  - Principal Components - Real values - Root mean square error of calibrations - Soil fertility - Soil sample - Spectro-radiometers - Standing-wave ratio - Visible-near infrared spectra

Classification code:821.4 Agricultural Products - 902.2 Codes and Standards - 921 Mathematics - 922 Statistical Methods - 922.2 Mathematical Statistics - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 931.2 Physical Properties of Gases, Liquids and Solids - 941 Acoustical and Optical Measuring Instruments - 941.4 Optical Variables Measurements - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 931.3 Atomic and Molecular Physics - 804.2 Inorganic Compounds - 804 Chemical Products Generally - 406.2 Roads and Streets - 461.1 Biomedical Engineering - 481.1 Geology - 483.1 Soils and Soil Mechanics - 711 Electromagnetic Waves - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 741.1 Light/Optics - 741.3 Optical Devices and Systems - 801 Chemistry

DOI:10.3969/j.issn.1002-6819.2009.z2.046

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

43.Accession number:20100312641235

Title:Regional arable land consolidation based on agricultural land classification and gradation

Authors:Pan, Yuchun (1); Liu, Qiaoqin (2); Lu, Zhou (1); Zhou, Yanbing (1); Li, Shuhua (1); Zhang, Yongping (1); Li, Wei (3)

Author affiliation:(1) Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Department of Public Administration, Shijiazhuang University of Economics, Shijiazhuang 050031, China; (3) Beijing Ceke Spatial Infl.-Tech. Co. Ltd., Beijing 100039, China

Corresponding author:Pan, Y. (Panyc@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:260-266

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Delineating arable land consolidation (LC) zones and the degree of priority zones is the basic work for LC planning. Taking Daxing district in Beijing as an example, the factors were chosen for arable LC zoning based on LC targets, and the fuzzy cluster were used for zoning LC types. Based on the dual-objectives, that are the LC benefits and the press for increasing arable land area and improving integrated production abilities, the evaluation factors and methods to determine the priority degree of LC were studied. The results show that: 1) the most serious restrictive factor is the lowest soil fertility, and the area of arable land which is urgent to cultivate the fertility is 27 603.8 hm², occupying 64.9% of the total arable area in this region; 2) the bad production conditions caused by the unsuited gradient, little scale and irregular shape of arable land parcel is the second serious restrictive factor, and the area needed to implement consolidate project is 17.86% of the total arable area in this region; 3) the near LC zones is consistent in distribution with the area related with consolidation to increase arable land area, occupying 15.82% of the total arable area in this region, metaphase LC area occupying 46.18% distributes convergent and continuously in the northern Daxing, and the targets of LC in the long-term LC area is to increase arable land area by consolidating the rural residential area and unused land, while the main measurement is to maintain and cultivate soil fertility in a long term. The results can provide scientific instructions for regional arable LC planning and practice.

Number of references:18

Main heading:Consolidation

Controlled terms:Fertilizers - Land use - Soils - Zoning

Uncontrolled terms:Agricultural land - Arable area - Arable land - Classification - Degree of consolidations - Evaluation factor - Fuzzy clusters - Integrated production - Irregular shape - Long term  - Production condition - Residential areas - Soil fertility

Classification code:804 Chemical Products Generally - 483.1 Soils and Soil Mechanics - 483 Soil Mechanics and Foundations - 821.2 Agricultural Chemicals - 442.2 Land Reclamation - 403.1 Urban Planning and Development - 403 Urban and Regional Planning and Development - 403.2 Regional Planning and Development

DOI:10.3969/j.issn.1002-6819.2009.z2.050

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

44.Accession number:20100312641186

Title:Water-saving irrigation management and decision support system

Authors:Chen, Zhifang (1); Song, Ni (1); Wang, Jinglei (1)

Author affiliation:(1) Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang 453003, China; (2) Key Laboratory for Crop Water Requirement and Regulation of Ministry of Agriculture, Xinxiang 453003, China

Corresponding author:Chen, Z.

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:1-6

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In the light of the complexity and real-timeliness of water use management in farmland irrigation, the software for water-saving irrigation management and decision support system was developed. Based on the collected information such as weather, soil moisture, crops and water resources situation, the water requirement of the crop was calculated by using the method of crop coefficient. According to the decision-making models of soil moisture, the irrigation prediction could be made to determine the accurate irrigation date and optimum irrigation amount by the system. Meanwhile, the irrigation equipments were automatically controlled and monitored to realize the aim of high-efficiency and water saving according to the results, which were obtained from the decision-making model. The system not only had the functions of input, editing, querying, statistics, outputting, etc., but also could provide the decision support of irrigation optimization and optimal allocation of water resources for irrigation management departments and water users. The system could also make the precision irrigation schemes. It can provide with the functions such as the consultation of water-saving irrigation mode, the selection of the optimum irrigation schemes, and guiding optimum irrigation for users in irrigation districts. The system has higher value in its application and popularization.

Number of references:22

Main heading:Decision making

Controlled terms:Artificial intelligence - Crops - Decision support systems - Decision theory - Geologic models - Groundwater - Irrigation - Moisture determination - Permittivity - Soil moisture  - Water conservation - Water resources - Water supply

Uncontrolled terms:Crop coefficient - Decision making models - Decision supports - High efficiency - Irrigation districts - Irrigation equipment - Irrigation management - Irrigation optimization - Irrigation schemes - Optimal allocation  - Precision irrigation - Prediction - Water requirements - Water saving - Water use - Water users - Water-saving irrigation

Classification code:821.3 Agricultural Methods - 821.4 Agricultural Products - 912.2 Management - 723.4 Artificial Intelligence - 921 Mathematics - 944.2 Moisture Measurements - 961 Systems Science - 922.2 Mathematical Statistics - 723 Computer Software, Data Handling and Applications - 444 Water Resources - 444.2 Groundwater - 446.1 Water Supply Systems - 403.1 Urban Planning and Development - 481.1 Geology - 701 Electricity and Magnetism - 708.1 Dielectric Materials - 483.1 Soils and Soil Mechanics

DOI:10.3969/j.issn.1002-6819.2009.z2.001

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

45.Accession number:20100312641204

Title:Water detection instrument design for living leaves based on near infrared spectroscopy

Authors:Hou, Rui (1); Ji, Haiyan (1); Rao, Zhenhong (3); Shen, Binghui (3)

Author affiliation:(1) College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (2) Jincheng Institute, Nanjing University of Aeronautics and Astronautics, Nanjing 211156, China; (3) College of Science, China Agricultural University, Beijing 100083, China

Corresponding author:Ji, H. (instru@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:92-96

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In near infrared range, using low power consumption MCU MSP430 and light-to-frequency chip TSL230, a transmission water-measuring instrument was designed, which can realize non-destructive and in situ measurement of leaves. The instrument consisted of signal acquisition module, microprocessor system, software and calibration model. The signal acquisition module was made up of NIR LED, 890 nm and 980 nm interference filter, light-to-frequency chip. The light-to-frequency chip simplified the signal acquiring circuit and decreased noise disturbance. The design of hardware and software, modeling and prediction of Chinese redbud leaves water were introduced. The predicted results were identical with the real values of leaf water, and the correlation coefficient was 0.900. The main features of the instrument were higher repetitiveness, stability and reliability. Compared with other apparatus, the instrument had advantages such as small volume, simple structure, lightweight, low power consumption and anti-interference. The experiment results indicated that this system was feasible to detect leaf water non-destructively and fast on fieldwork.

Number of references:18

Main heading:Infrared spectroscopy

Controlled terms:Computer software - Electric power supplies to apparatus - Infrared devices - Instruments - Light transmission - Mergers and acquisitions - Near infrared spectroscopy - Signal analysis - Signal detection - Signal processing  - Water content

Uncontrolled terms:Anti-interference - Calibration model - Correlation coefficient - Detection - Hardware and software - In-situ measurement - Interference filters - Leaf water - Leaves - Low-power consumption  - Measuring instruments - Microprocessor systems - Near-infrared range - Noise disturbance - Non destructive - Real values - Signal acquisitions - Simple structures - Water detection

Classification code:912 Industrial Engineering and Management - 931.2 Physical Properties of Gases, Liquids and Solids - 931.3 Atomic and Molecular Physics - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 941.4 Optical Variables Measurements - 801 Chemistry - 741.3 Optical Devices and Systems - 444 Water Resources - 713.5 Other Electronic Circuits - 715.2 Industrial Electronic Equipment - 716.1 Information Theory and Signal Processing - 723 Computer Software, Data Handling and Applications - 741.1 Light/Optics

DOI:10.3969/j.issn.1002-6819.2009.z2.019

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

46.Accession number:20100312641238

Title:Feature extraction and classification of coal mine overburden dumps based on data merging of multi-source remote sensing

Authors:Han, Yunxia (1); Li, Minzan (1); Sun, Hong (1); Li, Daoliang (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research Ministry of Education, China Agricultural University, Beijing 100083, China

Corresponding author:Li, M. (limz@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:277-282

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Feature extraction of coal mine using hyperspectral data remote sensing (RS) images was help for decision-making of revegetation and could provide technology reference for further researches. Object spectral characteristics of coal mine overburden dumps were quantitatively analyzed and classified based on multi-source remote sensing data. The hyper-spectral data were collected and the surface soil and vegetation were measured in Fuxin opencast coal overburden dumps. According to the analysis of remote sensing images, different bands images of SPOT-5 were used to classify the surface objects. The results indicated that the classification accuracy was not improved obviously using bands combination and merging. However, the evaluation accuracy can be improved effectively by combining four SPOT5 multi-spectral images, four vegetation index (VI) images and the hyper-spectral characteristics curves of the ground objectives, which achieved the total accuracy 85.48% and Kappa coefficient 0.8197. The results satisfied the needs of the objects investigation of overburden dump and provided the references for gradation of revegetaion.

Number of references:17

Main heading:Feature extraction

Controlled terms:Coal - Coal industry - Coal mines - Image reconstruction - Merging - Metal recovery - Mining - Remote sensing - Revegetation - Soil conservation  - Vegetation

Uncontrolled terms:Accuracy - Classification accuracy - Classification features - Data merging - Evaluation accuracy - Feature extraction and classification - Hyper-spectral characteristics - Hyperspectral Data - Kappa coefficient - Multisources  - Multispectral images - Remote sensing data - Remote sensing images - Spectral characteristics - Surface soil - Vegetation index

Classification code:723.5 Computer Applications - 731.1 Control Systems - 741 Light, Optics and Optical Devices - 741.1 Light/Optics - 723.2 Data Processing and Image Processing - 751.1 Acoustic Waves - 821.3 Agricultural Methods - 911 Cost and Value Engineering; Industrial Economics - 913 Production Planning and Control; Manufacturing - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 723.1 Computer Programming - 461.9 Biology - 483.1 Soils and Soil Mechanics - 502.1 Mine and Quarry Operations - 503 Mines and Mining, Coal - 442.2 Land Reclamation - 503.1 Coal Mines - 525.1 Energy Resources and Renewable Energy Issues - 531 Metallurgy and Metallography - 716 Telecommunication; Radar, Radio and Television - 524 Solid Fuels

DOI:10.3969/j.issn.1002-6819.2009.z2.053

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

47.Accession number:20100312641191

Title:Evaluation of effects of water stress on growing and yield of paddy based on RAGA-PPC model in cold area

Authors:Xu, Shuqin (1); Fu, Qiang (1); Dong, Shuxi (1); Ji, Fei (1); Wang, Kequan (1)

Author affiliation:(1) College of Water Conservancy and Architecture, Northeast Agricultural University, Harbin 150030, China

Corresponding author:Fu, Q. (fuqiang@neau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:29-33

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to solve the difficulty of judging the comprehensive effects of water stress on the growing and yield of rice, projection pursuit classification (PPC for short) model was presented. It could calculate the best projection direction based on the sample data characteristics. Through the best projection direction, the contributions of each evaluation index to the comprehensive evaluation target could be judged. The PPC model based on real coded accelerating genetic algorithm (RAGA-PPC for short) can simplify the realized process of PPC model, and overcome the shortcomings of complex calculation and difficulty of programming in traditional PPC model. The results showed that comprehensive growing index was influenced greatly by drought in jointing stage. It was also worse because of the long time drought in tillering stage. At the same time, continuous drought in growth duration of rice had most serious effects on the physiological parameters and yield. It was reliable to apply the RAGA-PPC model to evaluate the order result of comprehensive growing index under water stress conditions. The model has great significance in establishing regulated deficit irrigation system of rice.

Number of references:11

Main heading:Physiological models

Controlled terms:Drought - Irrigation - Photolithography - Yield stress

Uncontrolled terms:Cold area - Comprehensive effect - Comprehensive evaluation - Evaluation index - Growing index - Model-based - Physiological parameters - Projection direction - Projection pursuits - RAGA-PPC  - Real-coded - Regulated deficit irrigation - Sample data - Under water - Water stress

Classification code:951 Materials Science - 821.3 Agricultural Methods - 745.1 Printing - 714.2 Semiconductor Devices and Integrated Circuits - 461.1 Biomedical Engineering - 444 Water Resources - 443.3 Precipitation - 422 Strength of Building Materials; Test Equipment and Methods - 421 Strength of Building Materials; Mechanical Properties

DOI:10.3969/j.issn.1002-6819.2009.z2.006

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

48.Accession number:20100312641236

Title:Design and implementation of surveying and mapping system for farmland based on SOA

Authors:Wang, Yanji (1); Chen, Tian'en (1); Xu, Gang (1); Chen, Liping (1)

Author affiliation:(1) Beijing Research Center for Intelligent Agricultural Equipment, Beijing 100097, China; (2) Key and Open Laboratory of Information Technology in Agriculture, Ministry of Agriculture of China, Beijing 100097, China

Corresponding author:Wang, Y. (wangyj@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:267-271

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Electronic map of farmland is very important for carrying out precision agriculture. However, professional mapping equipments, mapping software and tenchnicists were needed during the cartography. Therefore the surveying and mapping system for farmland using GPS, GPRS and Server GIS was designed and implemented based on service-oriented architecture (SOA). The system consisted of four parts: data layer, component layer, service layer and application layer. The first three parts provided necessary web services of data and function, such as electronic map automatic generation, remote sensing image and mapping results download. The application layer, as the requester to these services, consisted of two parts, the surveying and mapping equipment for farmland based on smartphone and the management system of map data. The former could download high-resolution remote sensing image based on the coordinates of surveying region, upload the data of surveying recorded and display the preliminary mapping results in order to check and correct the results at the scene. The latter provided rapid way to browse, query and download the electronic map of farmland by the web client. The system was applied at the State Precision Agriculture Demonstration Base in Beijing. The results showed that the system was able to achieve fast cartography of farmland which includes fields, facilities and orchards.

Number of references:10

Main heading:Service oriented architecture (SOA)

Controlled terms:Farms - Geographic information systems - Image reconstruction - Information services - Mapping - Maps - Remote sensing - Surveying - Telecommunication systems - Web services

Uncontrolled terms:Application layers - Automatic Generation - Data layer - Electronic map - Farmland information collection - GIS mapping - High resolution remote sensing - Information collections - Management systems - Map data  - Mapping softwares - Mapping systems - Precision Agriculture - Remote sensing images - Service layers - Smart phones - Web clients

Classification code:903.4 Information Services - 723.3 Database Systems - 731.1 Control Systems - 741 Light, Optics and Optical Devices - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 902.1 Engineering Graphics - 903.3 Information Retrieval and Use - 723.2 Data Processing and Image Processing - 722.4 Digital Computers and Systems - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 405.3 Surveying - 723 Computer Software, Data Handling and Applications

DOI:10.3969/j.issn.1002-6819.2009.z2.051

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

49.Accession number:20100312641230

Title:Rapid nitrate detection system based on ion selective electrode

Authors:Zhang, Miao (1); Simon, Ang S. (2); Chien, Nguyen V. (2); Li, Li (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China; (2) Department of Electrical Engineering, University of Arkansas, Arkansas 72701, United States

Corresponding author:Li, L. (lily@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:235-239

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:A fluidic control system for detecting the nitrate content in solution rapidly was presented. The nitrate ion selective electrodes were prepared by electrochemically mediated imprinting doping of polypyrrole. Calibration was first performed using a sequence of nitrate solutions of 10-1 M, 10-3 M and 10-4 M, delivered by miniature pump and valves to a test chamber where nitrate ion selective electrodes were mounted. The calibration time was 4.5 minutes while the actual test time for one nitrate solution sample was only 90 seconds. It was found that the potential difference per decade concentration change in the ion selective electrode was a constant from 10-4 M to 10-1 M of nitrate concentrations. Based on the potentiometric response, the nitrate detection limit was found to be about 10-4 M. This low-cost, rapid nitrate contamination detection system could be used for soil and drinking water measurement.

Number of references:17

Main heading:Ion selective electrodes

Controlled terms:Calibration - Control systems - Electrodes - Ions - Nitrates - Pollution detection - Polypyrroles - Potable water - Water pollution

Uncontrolled terms:Concentration change - Detection limits - Detection system - Drinking water - Fluidic control - Miniature pumps - Nitrate concentration - Nitrate contamination - Nitrate ion selective electrode - Nitrate ion selective electrode (ISE)  - Nitrate solutions - Potential difference - Potentiometric response - Test chambers - Test time

Classification code:802.1 Chemical Plants and Equipment - 804.2 Inorganic Compounds - 815.1.1 Organic Polymers - 817.1 Polymer Products - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 902.2 Codes and Standards - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 931.3 Atomic and Molecular Physics - 801.4.1 Electrochemistry - 801 Chemistry - 444 Water Resources - 453 Water Pollution - 454.2 Environmental Impact and Protection - 701.1 Electricity: Basic Concepts and Phenomena - 704.1 Electric Components - 708.2 Conducting Materials - 714.1 Electron Tubes - 731.1 Control Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.045

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

50.Accession number:20100312641188

Title:Development of soil moisture management models based on GIS for farmland and its application

Authors:Zheng, Lihua (1); Li, Minzan (1); Ji, Ronghua (1); Ye, Haijian (1); Wu, Caicong (2); Zhang, Junning (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China; (2) Institute of Remote Sensing and GIS, Peking University, Beijing 100081, China

Corresponding author:Li, M. (limz@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:13-17

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Two simple thematic maps and two precise thematic maps for soil moisture and soil EC (electrical conductivity) were established separately based on GIS, hereby the models of sampling management and irrigation management were developed. Two interpolation models for two precise thematic maps were established with Kriging algorithm for soil moisture and universal Kriging algorithm for soil EC. The results showed that the RMSPE (Root Mean Square Percentage Error) of soil moisture prediction and soil EC was 5.489% and 18.451%, respectively. Finally, the sampling management models were developed based on the simple thematic maps, and the farming irrigation model based on the precise thematic maps was developed according to the expertise for the different farming target parameter during the different farming production period. Irrigation management using the model showed that soil moisture variance was adjusted from 1.9168 (before irrigation) to 0.8906 (after irrigation). Experiments show that the sampling management model is practical and the irrigation model can be used to guide farming production effectively.

Number of references:20

Main heading:Geologic models

Controlled terms:Algorithms - Electric conductivity - Electric conductivity measurement - Geographic information systems - Groundwater - Interpolation - Irrigation - Management - Maps - Moisture determination  - Numerical control systems - Permittivity - Soil moisture

Uncontrolled terms:Electrical conductivity - GIS - Interpolation algorithm - Interpolation algorithms - Irrigation management - Kriging algorithm - Management Model - Model-based - Percentage error - Root Mean Square  - Soil EC - Target parameter - Thematic maps - Universal kriging

Classification code:944.2 Moisture Measurements - 731.1 Control Systems - 821.3 Agricultural Methods - 902.1 Engineering Graphics - 903.3 Information Retrieval and Use - 912.2 Management - 921 Mathematics - 921.6 Numerical Methods - 942.2 Electric Variables Measurements - 723.3 Database Systems - 405.3 Surveying - 444.2 Groundwater - 481.1 Geology - 723 Computer Software, Data Handling and Applications - 483.1 Soils and Soil Mechanics - 701.1 Electricity: Basic Concepts and Phenomena - 708.1 Dielectric Materials - 701 Electricity and Magnetism

DOI:10.3969/j.issn.1002-6819.2009.z2.003

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

51.Accession number:20100312641187

Title:Design of precision irrigation system based on wireless sensor network and fuzzy control

Authors:Zhang, Wei (1); He, Yong (1); Qiu, Zhengjun (1); Cao, Jian (2); Qian, Suxiang (2); Lu, Jianzhong (3); Jin, Jianfang (3)

Author affiliation:(1) College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou 310029, China; (2) Mechanical and Electrical Engineering College, Jiaxing University, Jiaxing 314001, China; (3) Service Center of Agricultural Technology, Fengqiao Town, Nanhu District, Jiaxing 314007, China

Corresponding author:He, Y. (yhe@zju.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:7-12

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to accurately determine the crop water requirement and the proper strategy of precision irrigation, and reach real-time and automatic irrigation with proper quantities of water in place, a precision irrigation system based on ZigBee wireless sensor networks (WSN) and fuzzy control technology was designed. The ZigBee-WSN was used to transmit the irrigation control signal, collect the soil water potential signal and micrometeorological informations including air temperature, relative humidity, solar radiation, wind velocity and so on. The soil water potential and crop evaporation calculated using the FAO56 Penman-Monteith equation were taken as input variables of fuzzy controller, and the multiple-factor control regular database was established for the fuzzy irrigation control system. The fuzzy control of crop irrigation water requirements was realized. The test results show that the system has many advantages, such as economic, practical, with high communication reliability and control accuracy. Especially, this system is quite appropriate for medium and small-sized precision irrigation areas.

Number of references:25

Main heading:Wireless sensor networks

Controlled terms:Atmospheric humidity - Crops - Fuzzy control - Humidity control - Irrigation - Sensor networks - Soil moisture - Sun - Temperature control - Underwater soils  - Water supply - Wireless telecommunication systems

Uncontrolled terms:Air temperature - Automatic irrigation - Control accuracy - Control signal - Crop water requirements - Fuzzy controllers - Input variables - Irrigation water requirements - Penman-Monteith equations - Precision irrigation  - Relative humidities - Soil water potential - Test results - Wind velocities - Zig-Bee

Classification code:722.3 Data Communication, Equipment and Techniques - 722.4 Digital Computers and Systems - 723.4 Artificial Intelligence - 731 Automatic Control Principles and Applications - 921 Mathematics - 731.1 Control Systems - 732 Control Devices - 821.3 Agricultural Methods - 821.4 Agricultural Products - 731.3 Specific Variables Control - 717 Optical Communication - 716.3 Radio Systems and Equipment - 402 Buildings and Towers - 443.1 Atmospheric Properties - 446.1 Water Supply Systems - 471.1 Oceanography, General - 483.1 Soils and Soil Mechanics - 643.3 Air Conditioning - 657.2 Extraterrestrial Physics and Stellar Phenomena - 716 Telecommunication; Radar, Radio and Television

DOI:10.3969/j.issn.1002-6819.2009.z2.002

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

52.Accession number:20100312641209

Title:Hyperspectral models for estimating vegetation chlorophyll content based on red edge parameter

Authors:Yao, Fuqi (1); Zhang, Zhenhua (2); Yang, Runya (3); Sun, Jinwei (2); Cui, Sufang (2)

Author affiliation:(1) College of Water Resources and Architectural Engineering, Northwest Agriculture and Forestry University, Yangling 712100, China; (2) College of Geography and Planning of Ludong University, Yantai 264025, China; (3) College of Life Science of Ludong University, Yantai 264025, China

Corresponding author:Zhang, Z. (Zhangzh71@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:123-129

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Hyperspectral reflectance and green degree of Platanus orientalis L. and Populus tomentosa Carr. leaves were measured by the ASD portable spectrometer and the portable chlorophyll meter SPAD-502, respectively. The correlations between spectral reflectance, first derivative spectral reflectance and leaf green degree were analyzed. The hyperspectral models for estimating vegetation chlorophyll content based on red edge position, kurtosis and skewness were established, and the red edge position, kurtosis and skewness were used as the input variables of ANN-BP to estimate the content of chlorophyll. The results showed that red edge position of Platanus orientalis L. and Populus tomentosa Carr. had close relations with chlorophyll content, the regression determination coefficients were 0.7366 and 0.7289, respectively. The regression models established with kurtosis and skewness were obtained which could improve the estimating precision effectively, and the least determination coefficients were above 0.8341. The determination coefficients of ANN-BP models of Platanus orientalis L. and Populus tomentosa Carr. were 0.9574 and 0.9523, respectively. Compared with the models of single variable, ANN-BP model was a good hyperspectrum inversion model for estimating vegetation chlorophyll content, which could greatly improve estimation accuracy of vegetation chlorophyll content.

Number of references:27

Main heading:Vegetation

Controlled terms:Chlorophyll - Estimation - Porphyrins - Reflection - Regression analysis - Remote sensing

Uncontrolled terms:BP model - Chlorophyll contents - Content of chlorophyll - Determination coefficients - First derivative - Green degree - Hyper spectra - Hyperspectral models - Hyperspectral reflectance - Hyperspectrum  - Input variables - Inversion models - Populus tomentosa Carr - Red edge parameters - Red edge position - Regression model - Single variable - Spectral reflectances

Classification code:921 Mathematics - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 804.1 Organic Compounds - 801.2 Biochemistry - 922.2 Mathematical Statistics - 741.1 Light/Optics - 711 Electromagnetic Waves - 525.1 Energy Resources and Renewable Energy Issues - 461.9 Biology - 731.1 Control Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.024

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

53.Accession number:20100312641199

Title:Research on precision target spray robot in greenhouse

Authors:Zhang, Junxiong (1); Cao, Zhengyong (1); Geng, Changxing (1); Li, Wei (1)

Author affiliation:(1) College of Engineering, China Agricultural University, Beijing 100083, China

Corresponding author:Li, W. (gxy5@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:70-73

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Target spray is a focus in the field of agricultural information technology. The level of target spray varied with different target scale. It is a difficulty that taking a region of disease in a plant or one leaf as spray target. In this study, a mobile spray robotic system in greenhouse was developed, which sprayed the cucumber leaves precisely in a square of 0.2 m×0.2 m. The system was mainly composed of a mobile platform, manipulator, disease diagnosis system and variable nozzles. The mobile platform was installed in an elevated guide way, and it could stop according to the cucumber ridge location. The four degrees of freedom Cartesian coordinate manipulator was installed under the platform, which combined with spray bar to work in a rectangle of 1.2 m×1.2 m. Diagnosis of diseases was based on digital image analysis. A binocular vision system was constructed, which captured images in a region of 1.2 m×1.2 m, and then divided the images into units of 0.2 m×0.2 m. The level of disease was detected by analyzing images. Six spray nozzles were distributed uniformly on a 1.2 m long spray bar, and every nozzle corresponds to a region unit. According to the level of disease, spray time of nozzle was changed to realize variable spray.

Number of references:16

Main heading:Spray nozzles

Controlled terms:Atomizers - Binocular vision - Computer vision - Diagnosis - Greenhouses - Image analysis - Manipulators - Mobile phones - Robots - Targets

Uncontrolled terms:A plants - Cartesian coordinate - Digital image analysis - Disease diagnosis - Four-degrees-of-freedom - Mobile platform - Robotic systems - Spray - Spray nozzle - Variable spray

Classification code:731.5 Robotics - 731.6 Robot Applications - 741 Light, Optics and Optical Devices - 741.2 Vision - 802.1 Chemical Plants and Equipment - 821.6 Farm Buildings and Other Structures - 932.1.1 Particle Accelerators - 723.5 Computer Applications - 402.1 Industrial and Agricultural Buildings - 461.6 Medicine and Pharmacology - 631.1 Fluid Flow, General - 631.1.1 Liquid Dynamics - 691.1 Materials Handling Equipment - 718.1 Telephone Systems and Equipment - 723.2 Data Processing and Image Processing

DOI:10.3969/j.issn.1002-6819.2009.z2.014

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

54.Accession number:20100312641190

Title:Estimation of land surface evapotranspiration using MODIS data

Authors:Sun, Liang (1); Sun, Rui (1); Yang, Shiqi (4); Wang, Wen (5); Chen, Huailiang (6); Li, Xiaowen (1)

Author affiliation:(1) State Key Laboratory of Remote Sensing Science, Beijing 100875, China; (2) School of Geography, Beijing Normal University, Beijing 100875, China; (3) Beijing Key Laboratory of Environmental Remote Sensing and City Digitalization, Beijing 100875, China; (4) Chongqing Institute of Meteorology, Chongqing 401147, China; (5) School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China; (6) Henan Institute of Meteorology, Zhengzhou 450003, China

Corresponding author:Sun, R. (sunrui@bnu.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:23-28

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Evapotranspiration (ET) affects the transportation of the water and energy of land surface. Based on the principle of the atmospheric radiative transferring, the instantaneous solar radiation was estimated firstly with an atmospheric transmittance model and the content of ozone, water vapor and aerosol optical thickness at 550 nm provided by MODIS products. The root mean square error (RMSE) of the incident solar radiation was 61.4 W/m², while it was 112.1 W/m² with FAO-56 transmittance function. Based on the transmittance model, land surface temperature, vegetation index of MODIS products were used to estimate land surface evapotranspiration. The results show that the instantaneous sensible heat flux has a good agreement with the observation of large aperture scintillometry (LAS) in Zhengzhou, and the RMSE was 29.9 W/m². The RMSE of daily ET estimated with atmospheric transmittance model was 73.2 W/m², while it was 107.1 W/m² with FAO-56 transmittance function. The precise estimation of transmittance can obviously improve the precision of ET estimation.

Number of references:29

Main heading:Atmospherics

Controlled terms:Atmospheric electricity - Atmospheric temperature - Estimation - Evapotranspiration - Ozone - Radiometers - Remote sensing - Solar radiation - Spectrometers - Sun  - Surface measurement - Vegetation - Water content - Water supply - Water vapor

Uncontrolled terms:Aerosol optical thickness - Atmospheric transmittance - Land surface - Land surface temperature - Large aperture - MODIS - Root mean square errors - Sensible heat flux - Transmittance function - Vegetation index

Classification code:801 Chemistry - 801.4 Physical Chemistry - 802.3 Chemical Operations - 804 Chemical Products Generally - 741.3 Optical Devices and Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 941.3 Optical Instruments - 943.2 Mechanical Variables Measurements - 944.7 Radiation Measuring Instruments - 921 Mathematics - 731.1 Control Systems - 444 Water Resources - 444.1 Surface Water - 446.1 Water Supply Systems - 461.9 Biology - 443.1 Atmospheric Properties - 525.1 Energy Resources and Renewable Energy Issues - 657.1 Solar Energy and Phenomena - 657.2 Extraterrestrial Physics and Stellar Phenomena - 701.1 Electricity: Basic Concepts and Phenomena - 641 Heat and Mass Transfer; Thermodynamics

DOI:10.3969/j.issn.1002-6819.2009.z2.005

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

55.Accession number:20100312641193

Title:Effects of nitrogen application and irrigation cycle on bell pepper root distribution and yield under subsurface drip irrigation

Authors:Kong, Qinghua (1); Li, Guangyong (1); Wang, Yonghong (2); Huo, Hongxu (1)

Author affiliation:(1) College of Water Conservancy and Civil Engineering, China Agricultural University, Beijing 100083, China; (2) Water Management Office of Yuhe, Datong 037000, China

Corresponding author:Li, G. (lgyl@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:38-42

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Subsurface drip irrigation is a water-saving technology. A 2-year field experiment was conducted in 2007 and 2008 to investigate the effects of subsurface drip fertigation strategies on bell pepper yield and root distribution. Two irrigation cycles of four days and eight days (C<inf>4</inf>, C<inf>8</inf>) and four nitrogen application levels of 0, 75, 150, 300 kg/hm² (N<inf>0</inf>, N<inf>75</inf>, N<inf>150</inf>, N<inf>300</inf>) comprised the irrigation and fertigation treatments. The experimental results showed that the length, surface area, volume, weight, density of the roots significantly increased with the application rate of nitrogen less than 150 kg/hm². The characteristic parameter of roots decreased with the nitrogen application rate increased to 300 kg/hm². Four days irrigation cycle promoted the growth of root system and obtained higher yield than eight days irrigation cycle. The conics relationship between yield and nitrogen application rate was found. Maximum yield were obtained by treatment of 150 kg/hm² nitrogen application rate and four days irrigation cycle. The results show that there is remarkable linear relation between yield and total root length which is less than 2 mm.

Number of references:11

Main heading:Subirrigation

Controlled terms:Bells - Nitrogen - Nitrogen fertilizers - Water conservation

Uncontrolled terms:Application level - Application rates - Bell peppers - Characteristic parameter - Fertigations - Field experiment - Higher yield - Irrigation cycles - Irrigation interval - Linear relation  - Nitrogen application rates - Root distribution - Root system - Subsurface drip - Subsurface drip irrigation - Surface area - Total root lengths

Classification code:403.1 Urban Planning and Development - 444 Water Resources - 752.1 Acoustic Devices - 804 Chemical Products Generally - 821.2 Agricultural Chemicals - 821.3 Agricultural Methods

DOI:10.3969/j.issn.1002-6819.2009.z2.008

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

56.Accession number:20100312641249

Title:Measurement of soluble solid content in apples using near infrared spectroscopy

Authors:Zhang, Hailiang (1); Sun, Xudong (1); Liu, Yande (1); Liu, Tao (1); Ouyang, Aiguo (1); Pan, Yuanyuan (1); Gao, Rongjie (1)

Author affiliation:(1) School of Mechatronics Engineering, East China Jiaotong University, Nanchang 330013, China

Corresponding author:Liu, Y. (jxliuyd@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:340-344

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Difference of soluble solids content (SSC) of apples was compared with static detection of near-infrared spectroscopy and online detection of near-infrared spectroscopy. The characteristic wavelength bands of SSC were searched by interval partial least square (iPLS) regression in the wavelength range of 600-950 nm (static) and 600.02-950.92 nm (online). The models of SSC were developed in static and online measurement mode. The online model was inferior to the static model with correlation coefficient of 0.78 and root mean square error of prediction (RMSEP) of 1.04 &deg;Birx. The results show that it is inferior to statically determine SSC for online determination SSC of apples by NIRS technique.

Number of references:18

Main heading:Infrared spectroscopy

Controlled terms:Agricultural products - Elastic constants - Infrared devices - Least squares approximations - Near infrared spectroscopy - Nondestructive examination - Textiles

Uncontrolled terms:Correlation coefficient - Interval partial least-squares (iPLS) - Non destructive testing - On-line detection - On-line determination - On-line measurement - Online models - Partial least square methods - Root-mean-square error of predictions - Soluble solid content  - Soluble solids content - Static model - Wavelength band - Wavelength ranges

Classification code:931.3 Atomic and Molecular Physics - 931.2 Physical Properties of Gases, Liquids and Solids - 921.6 Numerical Methods - 821.4 Agricultural Products - 819 Synthetic and Natural Fibers; Textile Technology - 941.4 Optical Variables Measurements - 801 Chemistry - 741.1 Light/Optics - 423.2 Test Methods - 422.2 Test Methods - 421 Strength of Building Materials; Mechanical Properties - 741.3 Optical Devices and Systems

DOI:10.3969/j.issn.1002-6819.2009.z2.064

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

57.Accession number:20100312641247

Title:Application of iPLS-SPA variable selection in nondestructive testing of Spirulina powder

Authors:Wu, Di (1); Wang, Zhiping (2); He, Yong (1); Zhou, Zili (3)

Author affiliation:(1) College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou 310029, China; (2) Institute of Nuclear Agricultural Sciences, Zhejiang University, Hangzhou 310029, China; (3) Zhejiang Institute of Mechanical and Electrical Engineering, Hangzhou 310053, China

Corresponding author:He, Y. (yhe@zju.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:330-334

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:The feasibility of using visible and near infrared (Vis-NIR) spectroscopy was evaluated for nondestructive testing of Spirulina powders. Soft independent modeling of class analogy (SIMCA) was used to establish Vis-NIR spectral calibration model. A correct answer rate (CAR) of 93.33% for the discrimination of three varieties was obtained on full-spectrum. A hybrid variable selection algorithm based on interval partial least squares (iPLS) and successive projections algorithm (SPA) was proposed for the effective spectral variable selection. Five optimal effective variables were selected by that hybrid algorithm from 675 variables of full-spectrum. The CAR of 96.67% for the prediction set was obtained. Compared with the SPA based on the full-spectrum, visible spectra or NIR spectra, SPA based on could reduce the calculation time. The results show that it is possible for the nondestructive testing of Spirulina powders using Vis-NIR spectroscopy, and iPLS-SPA is an effective spectral variable selection algorithm.

Number of references:19

Main heading:Infrared spectroscopy

Controlled terms:Algorithms - Discriminant analysis - Elastic constants - Infrared devices - Near infrared spectroscopy - Nondestructive examination - Spectroscopic analysis - Spectrum analysis

Uncontrolled terms:Calculation time - Effective variables - Full-spectrum - Hybrid algorithms - Interval partial least-squares (iPLS) - NIR spectrum - Non destructive testing - Soft independent modeling of class analogies - Spectral calibration - Spectral variables  - Spirulina - Spirulina powders - Successive projections algorithm - Variable selection - Variable selection algorithms - Vis-NIR spectroscopy - Visible and near infrared - Visible spectra

Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 922 Statistical Methods - 922.2 Mathematical Statistics - 931.2 Physical Properties of Gases, Liquids and Solids - 931.3 Atomic and Molecular Physics - 941 Acoustical and Optical Measuring Instruments - 941.4 Optical Variables Measurements - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 921 Mathematics - 421 Strength of Building Materials; Mechanical Properties - 422.2 Test Methods - 423.2 Test Methods - 903.1 Information Sources and Analysis - 723 Computer Software, Data Handling and Applications - 741.3 Optical Devices and Systems - 801 Chemistry - 741.1 Light/Optics

DOI:10.3969/j.issn.1002-6819.2009.z2.062

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

58.Accession number:20100312641218

Title:Communication protocol in mobile field information intelligent service system based on GPRS

Authors:Guo, Wei (1); Ye, Haijian (1); Ji, Ronghua (1); Zheng, Lihua (1); Li, Minzan (1)

Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China

Corresponding author:Ye, H. (hjye@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:175-178

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In Mobile field information intelligent service system, the long-range wireless network communication protocol is very important to ensure the validity of field information. As a result of the complex and diverse field information, a universal network protocol can not be designed. The design must be based on the concrete demand in actual application. So this paper presents a wireless network transmission protocol based on TCP/IP which makes the rules of information transmission between host information service system and PDA. Using the protocol, mobile field information intelligent service system realizes the seamless connection between remote server and mobile terminals, and the remote host server can manage mobile terminals effectively, which lays the foundation for monitoring the soil moisture, temperature and other data.

Number of references:18

Main heading:Wireless networks

Controlled terms:Communication - Computer terminals - Groundwater - Information services - Mobile devices - Mobile phones - Mobile telecommunication systems - Moisture control - Network protocols - Personal digital assistants  - Portable equipment - Soil moisture - Soil surveys

Uncontrolled terms:Communication protocols - Diverse fields - Information transmission - Intelligent Services - Mobile terminal - PDA - Remote host - Remote server - Remote servers - Universal network  - Wireless network communication

Classification code:722.2 Computer Peripheral Equipment - 722.3 Data Communication, Equipment and Techniques - 722.4 Digital Computers and Systems - 722 Computer Systems and Equipment - 723 Computer Software, Data Handling and Applications - 903.4 Information Services - 944.2 Moisture Measurements - 731.3 Specific Variables Control - 718.1 Telephone Systems and Equipment - 444.2 Groundwater - 483.1 Soils and Soil Mechanics - 704.2 Electric Equipment - 406.2 Roads and Streets - 716 Telecommunication; Radar, Radio and Television - 717 Optical Communication - 718 Telephone Systems and Related Technologies; Line Communications - 716.3 Radio Systems and Equipment

DOI:10.3969/j.issn.1002-6819.2009.z2.033

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

59.Accession number:20100312641245

Title:Classification method of adaptive threshold segmentation algorithm and moment for foreign fibers in cotton

Authors:Liu, Shuangxi (1); Wang, Jinxing (1); Zheng, Wenxiu (1); Zhang, Xin (1)

Author affiliation:(1) Mechanical and Electronic Engineering College, Shandong Agricultural University, Tai'an 271018, China

Corresponding author:Wang, J. (jinxingw@163.com)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:320-324

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:This paper reports tests and classification of the foreign fibers in cotton using machine vision and image processing technology in order to get numbers and weight of the foreign fiber. With gray-scale transforming and filtering technology, the authors pre-treated the original extracted image of the foreign fibers in cotton and presented image segmentation method based on self-adaptation threshold partition algorithm. The segmented binary images were processed for contour extraction and classified which takes the ratio of area of foreign fiber contour to perimeter square as the moment and adopts interior pixel points scooping method and neighborhood search method. The tests included 300 foreign fiber cotton images and the classification accuracy rate reached 96%. The results show this method is effective and accurate.

Number of references:17

Main heading:Fibers

Controlled terms:Adaptive algorithms - Computer vision - Cotton - Cotton fibers - Feature extraction - Image recognition - Image segmentation - Method of moments - Spinning (fibers)

Uncontrolled terms:Adaptive threshold segmentation - Classification - Classification accuracy - Classification methods - Contour Extraction - Foreign fiber - Foreign fibers - Gray scale - Image processing technology - Interior pixels  - Machine vision - Neighborhood search - Partition algorithms - Self adaptation

Classification code:812 Ceramics, Refractories and Glass - 817 Plastics and Other Polymers: Products and Applications - 819.1 Natural Fibers - 819.3 Fiber Chemistry and Processing - 819.4 Fiber Products - 821.4 Agricultural Products - 921 Mathematics - 751.1 Acoustic Waves - 716 Telecommunication; Radar, Radio and Television - 723 Computer Software, Data Handling and Applications - 723.2 Data Processing and Image Processing - 723.5 Computer Applications - 731.6 Robot Applications - 741.1 Light/Optics - 741.2 Vision

DOI:10.3969/j.issn.1002-6819.2009.z2.060

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

60.Accession number:20100312641189

Title:Estimation of evapotranspiration in catchment based on distributed watershed hydrological model

Authors:Yang, Bang (1); Ren, Liliang (1); Wang, Guizuo (2); Li, Xianghu (3)

Author affiliation:(1) College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China; (2) Development Research Center of the Ministry of Water Resources, Beijing 100038, China; (3) Nanjing Institute of Geography and Limnology, Chinese Acad. of Sci., Nanjing 210008, China

Corresponding author:Ren, L. (rll@hhu.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:18-22

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:The distributed hydrological model including dual-source evapotranspiration moduleand runoff-yield module based on grid excess saturation scheme was established for simulating the evapotranspiration process of temporal and spatial variance was estimated in Dianzi basin, headwater region of Laoha River. The modeling result confirmed that the dual-source model could effectively simulate the actual evapotranspiration process in catchment scale and well support the distributed hydrological modeling rather than the potential evapotranspiration estimated by the pan measurement. The temporal variance of nterception evaporation, plant transpiration and evapotranspiration for different vegetations was similar, with the peak value in summer. Tall vegetation transpiration and proportion of productive evaporation was significantly higher than that of low vegetation. However, the temporal variance of evapotranspiration for soils covered for different vegetations was heterogeneous; the peak value of tall vegetations was in May and the peak value of short vegetations was in June or July.

Number of references:12

Main heading:Vegetation

Controlled terms:Catchments - Evapotranspiration - Landforms - Runoff - Transpiration - Vapors - Water supply - Watersheds

Uncontrolled terms:Actual evapotranspiration - Catchment scale - Distributed hydrological model - Distributed hydrological modeling - Dual source - Grid excess saturation scheme - Head waters - Hydrological model - Hydrological models - Modeling results  - Module-based - Peak values - Plant transpiration - Potential evapotranspiration - Spatial variance - Temporal variance - Watershed hydrological model

Classification code:821 Agricultural Equipment and Methods; Vegetation and Pest Control - 804 Chemical Products Generally - 802.3 Chemical Operations - 643 Space Heating, Ventilation and Air Conditioning - 641.2 Heat Transfer - 641.1 Thermodynamics - 525.1 Energy Resources and Renewable Energy Issues - 481.1 Geology - 461.9 Biology - 446.1 Water Supply Systems - 444.1 Surface Water - 444 Water Resources - 442.1 Flood Control

DOI:10.3969/j.issn.1002-6819.2009.z2.004

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

61.Accession number:20100312641248

Title:Non destructive detection of egg freshness based on computer vision

Authors:Zheng, Limin (1); Yang, Xu (1); Xu, Guiyun (3); Guo, Huiyuan (2); Ren, Fazheng (2); Wu, Ping (1); Zhu, Hong (1); Ge, Keshan (2)

Author affiliation:(1) College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; (2) College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; (3) College of Animal Science and Technology, China Agricultural University, Beijing 100083, China

Corresponding author:Ren, F. (renfazheng@263.net)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:335-339

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Non-destructive detection of egg freshness and storage time has great significance in the fields of egg production, transportation and processing. The experiment of egg freshness (Haff value) changes with storage time under the certain temperature was carried out. Digital images were achieved by high-resolution digital cameras with cold light illumination in reverse direction (intensity of illumination is approximate 10000 Lx), and the index of egg yolk and the index of egg air room from image characters were extracted. The relational models of egg freshness with index of egg yolk, storage time with egg freshness, storage time with index of egg yolk and index of egg air room were established. Egg freshness with index of egg yolk showed linear relationship and the average relative error between actual test data and predicted data was 6% after detection. Storage time with egg freshness and storage time with index of egg yolk and index of egg air room showed quadratic function relationship and the average relative error was less than two days. Experimental results show that image information of egg yolk and air room from egg transillumination images generated with reverse direction lighting method on the computer vision can predict egg freshness and storage time.

Number of references:12

Main heading:Error detection

Controlled terms:Cameras - Computer vision - Imaging systems - Light

Uncontrolled terms:Average relative error - Digital image - Egg production - Egg yolks - High-resolution digital cameras - Image characters - Image information - Light illumination - Lighting methods - Linear relationships  - Nondestructive detection - Quadratic function - Relational Model - Storage time - Test data

Classification code:746 Imaging Techniques - 742.2 Photographic Equipment - 741.2 Vision - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 731.6 Robot Applications - 723.5 Computer Applications - 723.2 Data Processing and Image Processing - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory

DOI:10.3969/j.issn.1002-6819.2009.z2.063

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

62.Accession number:20100312641232

Title:Relationship between laser-induced chlorophyll fluorescence intensity and laser power

Authors:Yu, Haiye (1); Yang, Haoyu (1); Zhang, Lei (1)

Author affiliation:(1) Key Laboratory of Bionic Engineering, Ministry of Education, School of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China

Corresponding author:Yu, H. (haiye@jlu.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:245-249

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In order to meet the needs of developing laser-induced fluorescence (LIF) non-destructive detecting technique, the relationship between chlorophyll fluorescence intensity of cucumber leaf in vivo and laser power was studied by reflectance laser-induced fluorescence (LIF) spectrum analysis technique in this paper. Fluorescence spectrums, which were induced by four kinds of laser power (2.50, 5.00, 7.50, 10.00 mW) of two kinds of center wavelength 473 and 660 nm, respectively, were analyzed in the experiment. Under those conditions, fluorescence intensities of center wavelength 685 and 732 nm for different plant physiology information (chlorophyll content, water content) were calculated and analyzed by MATLAB software. The results showed that there was a very significant linear correlation between fluorescence intensity of each peak position and laser power; chlorophyll content impacted on the relationship between fluorescence intensity and laser power significantly, and a linear correlation between fluorescence intensity gradient of each peak position and chlorophyll content was found. However, that relation insignificantly correlated with water content. Based on those results a mathematical model with chlorophyll content parameter of relationship between fluorescence intensity and laser power was established. The relative square error of prediction of the model was less than 0.2%, and it exactly reflected the relationship between chlorophyll fluorescence intensity and laser power.

Number of references:11

Main heading:Mathematical models

Controlled terms:Chlorophyll - Computer simulation - Fluorescence - Laser produced plasmas - MATLAB - Porphyrins - Spectrum analysis - Spectrum analyzers - Water content

Uncontrolled terms:Center wavelength - Chlorophyll contents - Chlorophyll fluorescence - Detecting technique - Fluorescence intensities - Fluorescence spectrum - In-vivo - Laser induced - Laser induced fluorescence - Laser power  - Linear correlation - Matlab- software - Non destructive - Peak position - Plant physiology - Square errors

Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 921 Mathematics - 922.2 Mathematical Statistics - 932.3 Plasma Physics - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 804.1 Organic Compounds - 744.9 Laser Applications - 741.1 Light/Optics - 723.5 Computer Applications - 723.1.1 Computer Programming Languages - 444 Water Resources - 801.2 Biochemistry

DOI:10.3969/j.issn.1002-6819.2009.z2.047

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

63.Accession number:20100312641207

Title:Simulation of tropisms of three tropisms of root system growth based on feedbacks between functions and structures

Authors:Zhang, Wuping (1); Liu, Jianning (2); Li, Baoguo (3)

Author affiliation:(1) College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China; (2) Institute of Animal Husbandry, Shanxi Academy of Agricultural Science, Taiyuan 030032, China; (3) Key Laboratory of Plant-Soil Interactions of Ministry of Education, College of Resources and Environment, China Agricultural University, Beijing 100193, China

Corresponding author:Li, B. (libg@cau.edu.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:110-117

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:It is very important to quantitatively study spatial growth and distribution of root system in precision agriculture, which can optimize the use efficiency of soil water and nutrient, and minimize the impacts of fertilizer to ecological environment. However, the spatial growth and distribution of root system were influenced mainly by the growth direction of root individual which was induced by geotropism, hydrotropism and nutrient-tropism. The growth process of root system in 3D soil space was implemented using the root functional-structural model developed by the principles of GREENLAB. The regions in which root system grows and develops were discretized by 3D spatial voxels. Having defined the voxels, the soil moistures and nutrients of local area which surrounded the root segment could be calculated by spatial collision detection technique. After obtaining the soil moistures and nutrients, the electro-impedance functions were used to adjust the sinks, while the growth direction of each root segment generated in current growth cycle was recalculated by the adjusted functional and structural parameters. With the help of multi-needle data structure, the dynamic storing of new root segment and visiting of all root system in each growth cycle was implemented. Finally, given some scenarios of spatial moisture and nutrient distribution, the geotropism, hydrotropism and nutrient-tropism of growth and development of root system were realized in the homogenous soil using the visual way, in which the parameters were from literatures.

Number of references:22

Main heading:Soil surveys

Controlled terms:Data structures - Geologic models - Groundwater - Model structures - Moisture determination - Nutrients - Permittivity - Soil moisture - Spacecraft - Three dimensional  - Underwater soils - Visualization

Uncontrolled terms:Collision detection technique - Ecological environments - Functional-structural models - GreenLab - Growth and development - Growth cycle - Growth directions - Growth process - Impedance functions - Nutrient distributions  - Precision Agriculture - Root segments - Root system - Soil water - Spatial growth - Structural parameter - Use efficiency

Classification code:944.2 Moisture Measurements - 701 Electricity and Magnetism - 708.1 Dielectric Materials - 723.2 Data Processing and Image Processing - 723.3 Database Systems - 723.5 Computer Applications - 821.2 Agricultural Chemicals - 822.3 Food Products - 902.1 Engineering Graphics - 655.1 Spacecraft, General - 406.2 Roads and Streets - 408 Structural Design - 444.2 Groundwater - 483.1 Soils and Soil Mechanics - 454.3 Ecology and Ecosystems - 471.1 Oceanography, General - 481.1 Geology - 461.9 Biology

DOI:10.3969/j.issn.1002-6819.2009.z2.022

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

64.Accession number:20100312641213

Title:Estimation of forage yield in Northern China based on NDVI data

Authors:Wu, Menxin (1); Qian, Shuan (1); Hou, Yingyu (1); Li, Chaosheng (1); Mao, Liuxi (1)

Author affiliation:(1) National Meteorological Center, China Meteorological Administration, Beijing 100081, China

Corresponding author:Wu, M.

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:149-155

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:Five kinds of remote sensing models were established for estimating the forage yield of the meadow in Northern China based on NOAA/AVHRR NDVI data, and the forage yield from the ground observation. The correlation coefficients of the five models were more than 0.7, which showed that the models were effective. Because the data of the forage yield were measured in the provinces such as Inner Mongolia, Gansu, Ningxia, Xinjiang, Qinghai and Tibet where the meadow was the main vegetation type, they were representative for the whole grassland in Northern China. So the models could extend the study area accordingly. The spatial analysis of the model results showed that the fertile meadows in Northern China lied in the eastern Inner Mongolia, Qilian Mountain in Guansu, Tianshan Mountain and Altai Mountain in Xinjiang, and the eastern Qinghai-Tibet Plateau. In this sense, the models could be applied in the survey of the resource of grassland. The time analysis of the model results revealed that the forage yield was mutative with the climate. So, the models could be applied to estimate the loss because of the climate disaster.

Number of references:17

Main heading:Climate models

Controlled terms:Forestry - Landforms - Remote sensing - Time series - Time series analysis - Vegetation

Uncontrolled terms:Correlation coefficient - Forage yield - Ground observations - Inner Mongolia - Model results - NDVI data - NOAA/AVHRR - Normalized difference vegetation index - Normalized difference vegetation index (NDVI) - Northern China  - Qilian mountains - Qinghai Tibet plateau - Remote sensing models - Spatial analysis - Study areas - Tianshan - Time analysis - Vegetation type - Xinjiang

Classification code:922.2 Mathematical Statistics - 921 Mathematics - 821.0 Woodlands and Forestry - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 731.1 Control Systems - 525.1 Energy Resources and Renewable Energy Issues - 481.1 Geology - 461.9 Biology - 443 Meteorology

DOI:10.3969/j.issn.1002-6819.2009.z2.028

Database:Compendex

Compilation and indexing terms, Copyright 2009 Elsevier Inc.

65.Accession number:20100312641217

Title:Cluster head cycle-switching schemes for farmland wireless sensor networks

Authors:Wu, Huarui (1); Zhao, Chunjiang (1); Zhang, Haihui (1)

Author affiliation:(1) National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China; (2) Key Laboratory for Information Technologies in Agriculture, Ministry of Agriculture, Beijing 100097, China

Corresponding author:Zhao, C. (uhr@nercita.org.cn)

Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Abbreviated source title:Nongye Gongcheng Xuebao

Volume:25

Issue:SUPPL. 2

Issue date:October 2009

Publication year:2009

Pages:170-174

Language:Chinese

ISSN:10026819

CODEN:NGOXEO

Document type:Journal article (JA)

Publisher:Chinese Society of Agricultural Engineering, Agricultural Exhibition Road South, Beijing, 100026, China

Abstract:In large-scale farmland wireless sensor network (WSN) applications, how to select the optimum network architecture and corresponding self-organization model is the problem which should be resolved urgently. Based on multi-hop and wireless self-organization Ad Hoc networks, and inspired from the biological organization mechanism of growth and cooperation along large numbers of cells, a hierarchical WSN topology was proposed, which integrated star network with mesh network, and cluster head cycle-switching schemes were also proposed. Inner-cluster management was used to reduce long distance signaling exchange between sensor nodes and base stations, network setup complexity and cost of network routing and data processing.

Number of references:17

Main heading:Wireless sensor networks

Controlled terms:Ad hoc networks - Cluster analysis - Cost reduction - Data processing - Farms - MESH networking - Network architecture - Sensor networks - Sensor nodes - Switching  - Telecommunication equipment - Wireless telecommunication systems

Uncontrolled terms:Biological organization - Cluster head - Cluster management - Large-scale farmland application - Long-distance signaling - Mesh network - Multihop - Network setup - Optimum networks - Self-organizations  - STAR network - Switching scheme

Classification code:723 Computer Software, Data Handling and Applications - 723.2 Data Processing and Image Processing - 731.1 Control Systems - 922 Statistical Methods - 732 Control Devices - 911.2 Industrial Economics - 912.2 Management - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 722.4 Digital Computers and Systems - 722.3 Data Communication, Equipment and Techniques - 716 Telecommunication; Radar, Radio and Television - 716.3 Radio Systems and Equipment - 717 Optical Communication - 718 Telephone Systems and Related Technologies; Line Communications - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 722 Computer Systems and Equipment

DOI:10.3969/j.issn.1002-6819.2009.z2.032

Database:Compendex