<RECORD 1>
Accession number:20154901636936
Title:Design and test of control system on variable fertilizer applicator for winter wheat
Authors:Wang, Xiaochan (1, 2); Chen, Man (1); Sun, Guoxiang (1, 2); Zhang, Yu (1, 2); Zhang, Yongnian (1, 2)
Author affiliation:(1) College of Engineering, Nanjing Agricultural University, Nanjing, China; (2) Jiangsu Province Engineering Laboratory for Modern Facilities Agricultural Technology and Equipment, Nanjing, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:88-92
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:This variable rate fertilizer applicator based on crop canopy real-time spectral information (normalized differential vegetation index, NDVI) was designed to applicate real-time variable fertilization for the winter wheat. By realtime spectral information of crop canopy via six spectrum sensors, and speed of the tractor via velocity-measuring system, the expert system of the applicator could adjust the rate of the fertilizer according to the feedback fertilizer flow under fuzzy PID (proportion integration differentiation) controller. The experimental results indicated that the fuzzy PID had the good tracking performance and dynamic stability. The system precision could reach above 90%, and the measuring absolute error of the traveling speed was within 0.25 km/h. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:11
Main heading:Applicators
Controlled terms:Agriculture - Control - Crops - Design - Expert systems - Fertilizers - Three term control systems
Uncontrolled terms:Agricultural madchinery - Fuzzy - pid controls - Normalized differential vegetation indices - Precision Agriculture - Proportion integration differentiations - Spectral information - Tracking performance - Variable rate fertilizer applicators
Classification code:601 Mechanical Design - 723.4.1 Expert Systems - 731.1 Control Systems - 804 Chemical Products Generally - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.013
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 2>
Accession number:20154901636946
Title:Simulation of maize kernel growth using source-sink approach with priority function
Authors:Chen, Youjia (1, 2); Li, Shuangwei (1); Hoogenboom, Gerrit (2); Guo, Yan (1); Li, Baoguo (1); Ma, Yuntao (1)
Author affiliation:(1) Key Laboratory of Plant-Soil Interactions, College of Resources and Environment, China Agricultural University, Beijing, China; (2) AgWeatherNet, Washington State University, Prosser; WA, United States
Corresponding author:Ma, Yuntao(yuntao.ma@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:152-158
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Accurate estimation of crop yield is important for agricultural research and crop production. However, there can be a large variation of individual kernel size that can have a significant impact on final yield. Current maize models lack mechanistic processes at the individual kernel level and therefore limit their applications for a wide range of environments. Growing kernels can be separated into superior and inferior kernels. Superior kernels have the priority over inferior kernels for receiving carbohydrates. A model was developed to simulate dry matter accumulation of each kernel of an ear using a source-sink approach with a priority function. Model evaluation using experimental data from different plant densities showed that the accuracy for simulating individual kernel on different positions improved significantly when incorporating a priority function into source-sink approach. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:28
Main heading:Grain (agricultural product)
Controlled terms:Agriculture - Crops - Cultivation - Models - Testing
Uncontrolled terms:Accurate estimation - Agricultural research - Dry matter accumulation - Model evaluation - Priority - Priority functions - Source-sink - Zea mays
Classification code:821 Agricultural Equipment and Methods; Vegetation and Pest Control
DOI:10.11975/j.issn.1002-6819.2015.z2.023
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 3>
Accession number:20154901636961
Title:Verification experiment on dynamic modeling of leveling system of paddy field laser leveler
Authors:Shi, Lei (1); Zhao, Zuoxi (1, 2); Tu, Hai (1); Ke, Xinrong (1); Liu, Xiong (1); Zhao, Ouya (1); Cao, Wenjun (1); Chen, Jiaqi (1)
Author affiliation:(1) Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China; (2) Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Hunan Agricultural University, Changsha, China
Corresponding author:Zhao, Zuoxi(zhao_zuoxi@hotmail.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:256-261
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Dynamic Modeling is one of the most effective ways to show dynamic characteristics of mechanic-hydraulic system. It is always used in high presion control of the moving part, especially in high speed. However, it must be verified before used in controller designing. This paper pays much attention to verification test on dynamic modeling of leveling system of paddy field laser leveler. The test conditions was more rigorous than before, which can ensure the accuracy of modeling. The verification test was based on that dynamic modeling was established by group before and modeling was tested simply, which showed the accuracy of modeling. In this paper a experimental platform was designed and built, which was close to the model assumptions. The platform should firstly provide a stable platform installation for the physical system of shovel. Secondly it should have proportional flow valve. Last but not list, The clearance between the hinge should be small. Then carried out the test, which mainly included two parts. First was the calibration of flow gain coefficient of proportional flow valve through constant current input and sinusoidal input test. Measured the electric current and flow rate data at same time, then propose them by Matlab. Second, sine vibration test for the physical system of shovel through inputing different frequency and amplitude of the input current by control circuit to the physical system of shovel. Then Comparing the ground level obliquity Angle measurement results with the simulation results which happened in same condition. The test results showed that the ground level obliquity, compared with the results of simulation model could response the leveling system dynamic characteristics. This paper can be useful in these terms. First, it lays foundation for perfecting the leveling system structure in future and realizing the leveling control algorithm based on dynamic model foundation. Second, the calibration method of the proportional valve flow gain coefficient can be reused to figure out the parameter of the proportional valve flow gain coefficient. Last but not list, the scheme of system model validation for dynamic modeling of other integrative technique of mechanics-electronics-hydraulics equipment validation also can be used and be referenced. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:16
Main heading:Leveling (machinery)
Controlled terms:Agricultural machinery - Algorithms - Calibration - Dynamic models - Dynamics - Hydraulic equipment - Hydraulic machinery - Lasers - MATLAB - Shovels - Testing - Verification
Uncontrolled terms:Calibration method - Current flows - Different frequency - Dynamic characteristics - Experimental platform - Proportional valves - Sine vibration tests - Verification tests
Classification code:603.1 Machine Tools, General - 632.2 Hydraulic Equipment and Machinery - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 744.1 Lasers, General - 821.1 Agricultural Machinery and Equipment - 921 Mathematics
DOI:10.11975/j.issn.1002-6819.2015.z2.038
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 4>
Accession number:20154901636955
Title:Intelligent monitoring system for laminated henhouse based on Internet of Things
Authors:Li, Hualong (1, 2); Li, Miao (1); Zhan, Kai (3); Yang, Xuanjiang (1); Weng, Shizhuang (1, 2); Yuan, Yuan (1); Chen, Sheng (1, 2); Luo, Wei (1, 2); Gao, Huiyi (1)
Author affiliation:(1) Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China; (2) University of Science and Technology of China, Hefei, China; (3) Institute of Animal Husbandry and Veterinary, Agricultural Academy of Anhui Province, Hefei, China
Corresponding author:Li, Miao(mli@iim.ac.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:210-215
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:At present, various single-parameter measuring instruments are used to measure environmental parameters, which have complicated operation and low detection efficiency. And the measuring points are too less to reflect the whole henhouse environment. To solve this problem, we proposed an intelligent monitoring system for laminated henhouse based on Internet of Things and designed a kind of sensor distribution topology its complex structure. It can realize the real-time online monitoring of environmental parameters of the henhouse with the local storage and remote transmission of measuring data. Through the web page or intelligent mobile APP, the users can make query to the henhouse environmental real-time data. The experimental result showed that air temperature, the concentration of CO<inf>2</inf>, NH<inf>3</inf>and H<inf>2</inf>S met the requirement of national environmental quality standard of livestock and poultry farm. But the light intensity, relative humidity, wind speed and PM10 were in the unreasonable range. Correspondingly, the corresponding optimization methods were given. In fact, we find that the system is suitable for the stable operation and accurate monitoring of henhouse environment, which application prospects are broad in large-scale livestock precision farming. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:28
Main heading:Monitoring
Controlled terms:Agriculture - Air quality standards - Carbon dioxide - Complex networks - Digital storage - Embedded systems - Environmental engineering - Internet - Internet of things - Laminating - Networks (circuits) - Websites - Wind
Uncontrolled terms:Application prospect - Detection efficiency - Environmental parameter - Environmental quality standards - Henhouse - Intelligent monitoring systems - Remote transmissions - Sensor distributions
Classification code:443.1 Atmospheric Properties - 703.1 Electric Networks - 722 Computer Systems and Equipment - 722.1 Data Storage, Equipment and Techniques - 723 Computer Software, Data Handling and Applications - 804.2 Inorganic Compounds - 816.1 Processing of Plastics and Other Polymers - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 902.2 Codes and Standards
DOI:10.11975/j.issn.1002-6819.2015.z2.032
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 5>
Accession number:20154901636951
Title:Crop phenotypic parameters extraction method based on skeleton extraction algorithm
Authors:Zong, Ze (1, 2); Zhang, Xue (1); Guo, Cailing (1); Ma, Li (1); Liu, Gang (1); Yi, Jinggang (2)
Author affiliation:(1) Key Lab of Modern Precision Agriculture System Integration Research, Key Lab of Agricultural Information Acquisition Technology, China Agricultural University, Beijing, China; (2) Mechanical and Electrical Engineering College, Agricultural University of Hebei, Baoding, China
Corresponding author:Liu, Gang(pac@cau.edu.cnc)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:180-185
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In view of the problem that obtaining maize plant type parameters mainly depends on the artificial measurement at present in China, which is time-consuming and strenuous, a method to extract phenotypic parameters based on range images was proposed. Based on the corn crop, the algorithm first carries on the single pixel refinement and detection of feature points after denoising the binary image of crops; then stalk and leaves are separated according to the characteristics of the crops corresponding the space coordinates of pixels; according to the least square thought, the objective function and fitness function of genetic algorithm are improved to get the space curves which fit the space discrete points, finally the crop phenotypic parameters could be extracted through the space curves which are also the smooth skeleton of the stem and leaves. Compared with literature 9, field experimental results of the improved algorithm showed that the error of plant height is reduced by about 35%, the leaf length error reduced by 70% and the leaf angle error reduced by 20%. Experimental results demonstrate that the algorithm effectively improves the phenotypic parameters measurement precision, and provides the technical support for 3D model reconstruction of crops. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:14
Main heading:Parameter estimation
Controlled terms:Algorithms - Binary images - Crops - Curve fitting - Errors - Extraction - Genetic algorithms - Image processing - Measurements - Musculoskeletal system - Pixels - Plants (botany) - Three dimensional computer graphics
Uncontrolled terms:3D model reconstruction - Fitness functions - Measurement precision - Objective functions - Parameters extraction - Phenotypic parameters - Skeleton extraction - Technical support
Classification code:461.3 Biomechanics, Bionics and Biomimetics - 723.2 Data Processing and Image Processing - 802.3 Chemical Operations - 821.4 Agricultural Products - 921.6 Numerical Methods
DOI:10.11975/j.issn.1002-6819.2015.z2.028
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 6>
Accession number:20154901636926
Title:Design and test of combined pick-up device for automatic and precise transplanting of vegetable plug seedlings
Authors:Han, Lühua (1, 2); Mao, Hanping (1, 2); Hu, Jianping (1, 2); Xu, Jingyun (1, 2); Zhao, Zhengrong (1, 2); Ma, Guoxin (1, 2)
Author affiliation:(1) Jiangsu Province Synergistic Innovation Center of Modern Agricultural Equipment and Technology, Zhenjiang, China; (2) Key Laboratory of Modern Agriculture Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang, China
Corresponding author:Mao, Hanping(maohp@ujs.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:17-23
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Precision planting is one key point of precision agriculture. A doorframe type swing seedling pick-up device for the automatic precise field transplanter was designed and tested in a laboratory. The seedling device could automatically extract seedlings from growing trays, transfer them, and release them into the planting unit where they were to be precisely transplanted into the ground. It consisted of a path manipulator and two grippers. The path manipulator for seedling extraction was constructed with creative design of II-type mechanism combination in series. It consisted of an oscillating guide linkage mechanism and a grooved globoidal cam mechanism. According to the planned seedling pick-up trajectory, the design of the path manipulator for seedling extraction was finished with a set of the closed loop vector equation. The gripper was a pincette-type mechanism using the pick-up pins to penetrate into the root mass for seedling extraction. It consisted of multiple pick-up pins, U-type pull rod, shaft, stop block, compression spring and frame. The mechanical dimensions of the gripper were determined by the tray size and plant characteristic with a set of rectangular equations and the boundary constraint conditions. The final gripper was developed on the basis of cultural practice for vegetable seedling in China. A prototype of the seedling pick-up device was constructed to examine whether its working efficacy was satisfactory or not. According to the analysis on the work process, the seedling pick-up device could precisely complete a work cycle of approaching, penetrating, extracting, transferring, erecting and discharging a seedling. Taking pepper seedlings, tomato seedlings and cucumber seedlings as the transplanting objects, the performance tests were conducted to evaluate the practicality and adaptability of the pick-up device. The laboratory evaluation showed that the pick-up device equipped with two grippers could extract 70 seedlings per minute with an average success ratio of 90.49%. The quality of extracting seedlings was satisfactory. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:24
Main heading:Seed
Controlled terms:Agricultural machinery - Agriculture - Cams - Design - Extraction - Grippers - Machine design - Manipulators - Pickups - Transplants - Vegetables
Uncontrolled terms:Boundary constraints - Compression springs - Laboratory evaluation - Mechanical dimensions - Plant characteristics - Plug seedling - Precision Agriculture - Transplanter
Classification code:462.4 Prosthetics - 601 Mechanical Design - 601.3 Mechanisms - 731.5 Robotics - 802.3 Chemical Operations - 821 Agricultural Equipment and Methods; Vegetation and Pest Control
DOI:10.11975/j.issn.1002-6819.2015.z2.003
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 7>
Accession number:20154901636942
Title:Bidirectional communication and control system of intelligent water-saving irrigation in litchi orchard based on wireless sensor network
Authors:Xie, Jiaxing (1, 2); Yu, Guoxiong (1); Wang, Weixing (1, 2, 3); Lu, Huazhong (1, 2); Lin, Jinbin (1)
Author affiliation:(1) College of Electronic Engineering, South China Agricultural University, Guangzhou, China; (2) Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China; (3) National Engineering Research Center for Breeding Swine Industry, Guangzhou, China
Corresponding author:Wang, Weixing(weixing@scau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:124-130
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In order to improve the utilization of water resources and satisfy the needs of intelligent irrigation management, an intelligent irrigation system combined with wireless sensor network technology as the core in litchi orchard was designed. The system used CC2530 as wireless communication module, combined with DHT22 air temperature and humidity sensors, GY-30 light intensity sensor, TDR-3 soil moisture sensor and peripheral circuit as a sensor module to collect a number of environmental information and data such as temperature humidity, light and soil moisture content. To achieve a real-time monitoring of litchi orchard environment, it ensured the transmission of real-time and remoted via wireless sensor networks, GPRS and the Internet transmission. In the mean time, litchi orchard soil moisture water content threshold had been set on remote servers and websites, when the value of the soil moisture content exceeds the threshold, the servers or websites would automatically send the relevant commands to control the corresponding solenoid valve to realize two-way control. The maximum bidirectional effective communication distance of the designed nodes reached 1205 m in open field and 81.5 m in litchi orchard. With a working cycle of 30 min, it could be estimated that two series lithium batteries with a rated capacity of 3000 mA·h allows sensor nodes operating time up to 500 days and the solenoid valve control node can work more than 5 years. Experimental results showed that the system is stable with the average network packet loss rate of 3.87%, which can monitor the collection of information and control the solenoid valves accurately to achieve a bidirectional communication and control system of intelligent water-saving irrigation in litchi orchard. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:18
Main heading:Wireless sensor networks
Controlled terms:Control systems - Data acquisition - Farms - Humidity control - Information systems - Irrigation - Lithium batteries - Moisture - Moisture control - Moisture determination - Orchards - Sensor nodes - Soil moisture - Soils - Solenoid valves - Solenoids - Water conservation - Water content - Water resources - Websites - Wireless telecommunication systems
Uncontrolled terms:Bi-directional communication - Effective communication - Environmental information - Intelligent irrigation systems - Intelligent irrigations - Litchi orchards - Water-saving irrigation - Wireless communications
Classification code:444 Water Resources - 483.1 Soils and Soil Mechanics - 619 Pipes, Tanks and Accessories; Plant Engineering Generally - 702.1.1 Primary Batteries - 704.1 Electric Components - 722 Computer Systems and Equipment - 722.3 Data Communication, Equipment and Techniques - 723.2 Data Processing and Image Processing - 731.1 Control Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.3 Agricultural Methods - 903.2 Information Dissemination - 944.2 Moisture Measurements
DOI:10.11975/j.issn.1002-6819.2015.z2.019
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 8>
Accession number:20154901636945
Title:Segmentation for low depth of field crop disease images based on saliency and blurred detection
Authors:Chen, Lei (1); Yuan, Yuan (1); Wu, Na (1, 2); Li, Miao (1); Zhang, Jian (1)
Author affiliation:(1) Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China; (2) School of Information Science and Technology, University of Science and Technology of China, Hefei, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:145-151
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Most existing image-based methods for crop disease diagnosis usually have high requirement of the input images, including simple background, sufficient depth of field, etc. These methods always need to remove the complex background when doing image preprocessing, which lead to obtain the desired results difficultly. Besides, when the lesion areas are small, the captured micro images always have the low depth of field, which cannot be processed effectively by these methods to extract the accurate lesion areas. In order to solve these problems, the paper proposed a method which uses target detection to segment the lesion images. Firstly, by integrating the structural features and color features extraction and feature space quantization, the saliency region of crop disease images was detected. The lesion areas can be extracted without the preprocessing of removing the complex background. Meanwhile, to deal with the crop diseases images with the low depth of filed, the blurred detection was introduced to further filter the background or blurred images. The images of various diseases of cucumber and rice were used in the experiments. The experimental results showed that our method was much better than the threshold method on accuracy and much more efficient than graph cuts method on efficiency in image segmentation of the crop disease images. Meanwhile, our method can effectively extract the lesion areas from the crop disease images with the low depth of field. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:16
Main heading:Image segmentation
Controlled terms:Algorithms - Crops - Diagnosis - Graphic methods - Image fusion - Image processing - Target tracking
Uncontrolled terms:Complex background - Crop disease - Image preprocessing - Image-based methods - Low depth of field - Saliency detection - Structural feature - Threshold methods
Classification code:461.6 Medicine and Pharmacology - 723.2 Data Processing and Image Processing - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.022
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 9>
Accession number:20154901636932
Title:Design and test of high clearance boom-tunnel type sprayer
Authors:Yuan, Jin (1, 2); Zhao, Xinxue (1, 2); Li, Ming (1); Yan, Xiaohai (1); Liu, Xuemei (1, 2)
Author affiliation:(1) School of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, China; (2) Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments, Tai'an, China
Corresponding author:Liu, Xuemei(lxmywj@126.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:60-68
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:For significant differences in plant morphology between tobacco rosette and topping stage after transplanting, using the single boom sprayer leads to poor disease and pest control. This paper designs a boom and tunnel two-in-one sprayer, to conduct boom spray to sparse and low tobacco in the rosette and exuberant growth stage, and to conduct tunnel spray to tall and dense tobacco in the topping and pro-harvest stage, and to collect drip liquid for recycling. This sprayer is fixed on a high clearance universal chassis. The frame slip deformation mechanism achieves the transformation of two spraying mode between the boom spray and the tunnel spray. The frame collapsed mechanism achieves the transformation of the machine conditions between working state and transport state. Laboratory experiments showed that: compared with the ordinary boom sprayer, both working at tobacco topping and harvesting stage, setting by traveling at the same speed and spraying same amount, this two-in-one sprayer improves about 50% droplets deposition of per unit front area at the lower plants leaves along the vertical direction, and droplets deposition of per unit back area on the lower and upper leaves increases by 30.56% and 61.54% respectively. The droplets deposition of per unit front area on the outer, middle and inner leaves all increased by more than 42% along the horizontal direction, and the droplets deposition of per unit back area on inner, middle and outer leaves also increases by 46.23%, 61.17% and 24.11% respectively. Field experiments also show that: spray droplets have good adherence to tobacco, and almost no damage to tobacco leaves. In the tobacco entire life cycle within field planting, this sprayer has better deposition effect and machine utilization. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:16
Main heading:Tunnels
Controlled terms:Deposition - Design - Disease control - Drops - Machinery - Mechanization - Plants (botany) - Tobacco
Uncontrolled terms:Droplet deposition - Entire life cycles - Field experiment - Laboratory experiments - Machine utilization - Slip deformation - Sraying - Vertical direction
Classification code:401.2 Tunnels and Tunneling - 601 Mechanical Design - 802.3 Chemical Operations - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.009
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 10>
Accession number:20154901636953
Title:Multispectral reflectance inversion and chlorophyll content diagnosis of maize at seeding stage
Authors:Wen, Yao (1); Li, Minzan (1); Zhao, Yi (1); Liu, Haojie (1); Sun, Hong (1); Chen, Jun (2)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China; (2) College of Electromechanical Engineering, Northwest A&F University, Yangling, China
Corresponding author:Sun, Hong(sunhong@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:193-199
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In order to explore the fast and non-destructive estimation method of chlorophyll content of maize, a fast and nondestructive diagnostic study of chlorophyll content index at the seedling stage of maize was carried out in this paper based on the 2-CCD multi-spectral image acquisition system. In the calibration experiment, the spectral curves of the 4 stage diffuse gray board and the standard white board was acquired by ASD's FieldSpec Handheld spectrometer firstly. The average values of reflectivity were calculated respectively in the four bands of 5(450~490 nm), G(530~570 nm), R(600~640 nm) and NIR (780~820 nm). The linear inversion formula between the normalized mean gray value and the spectral reflectance of the maize leaves in field was established by the normalized mean gray value of the gray board's multi-spectral images in the four bands. In order to eliminate the effect of illumination changes on the gray value of crop canopy image in the field experiment and convert the canopy image data of maize to the data of its leaf reflectance under different illumination conditions, calibration was carried out in real time by using the diffuse reflection gray board which have four different gray levels and meet the conditions of Lambertian in the field. 64 groups multispectral images of maize seedling canopy and diffuse reflectance gray board were acquired synchronously. Correlation regression analysis was carried out on the normalized average gray value of the diffuse reflectance gray board's multispectral images in the field experiment and the calibration experiment. According to the changing trend of the sunlight, the gray value of the maize canopy was corrected in each of the 8 samples. Average value of each sample correction factor was used as the coefficient of the correction formula. After the multi-spectral images of maize in seedling stage processing, the normalized average gray value of R, G, B and NIR was extracted from canopy image. And 4 common image vegetation indices (A<inf>NDVI</inf>, A<inf>NDCI</inf>, A<inf>RVI</inf>and A<inf>DVI</inf>) were calculated. The normalized average gray value was corrected by the correction formula of gray value, the average reflectivity of four bands were obtained by the inversion of linear formula. And 4 common spectral vegetation indices (R<inf>NDVI</inf>, R<inf>NDCI</inf>, R<inf>RVI</inf>and R<inf>DVI</inf>) were calculated. Correlation analysis between the parameters of the detection and the SPAD value of the chlorophyll content index was carried out before and after the correction. The results showed that: compared with the former, the correlation between the average reflectivity, the spectral vegetation index and SPAD value was significantly increased. The correlation coefficient of vegetation index was promoted from the low correlation (r<0.5) to significantly related (r>0.5). The fitting model of vegetation index (R<inf>NDVI</inf>, R<inf>RVI</inf>and R<inf>DVI</inf>) and chlorophyll content index was established by least squares support vector regression (LS-SVR). The results showed that the fitting determination coefficient was up to 0.73, and the fitting result was ideal. It is proved that the method was feasible to establish reflectance inversion correction model of maize canopy multi-spectral image by diffuse reflectance gray board. This method provided a support for the rapid and non-destructive diagnosis of chlorophyll content at maize seedling stage. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:19
Main heading:Grain (agricultural product)
Controlled terms:Calibration - Chlorophyll - Image acquisition - Infrared devices - Models - Plants (botany) - Reflection - Regression analysis - Spectroscopy - Spectrum analysis - Vegetation
Uncontrolled terms:Calibration experiments - Correlation coefficient - Determination coefficients - Hand-held spectrometers - Least squares support vector regression - Maize seedlings - Non-destructive diagnostic - Spectral vegetation indices
Classification code:723 Computer Software, Data Handling and Applications - 804.1 Organic Compounds - 821.4 Agricultural Products - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.030
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 11>
Accession number:20154901636958
Title:ANN model optimization for reducing interference of Cl<sup>-</sup>on NO<inf>3</inf><sup>-</sup>ion selective electrode
Authors:Pu, Pan (1, 3); Zhang, Miao (1); Ren, Haiyan (1); Kong, Pan (2); Li, Yanhua (1)
Author affiliation:(1) Key Laboratory on Modern Precision Agriculture System Integration Research of Ministry of Education, China Agricultural University, Beijing, China; (2) Key Lab of Agricultural Information Acquisition Technology, China Agricultural University, Beijing, China; (3) Northwest A&F University, Yangling, China
Corresponding author:Zhang, Miao(zhangmiao@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:230-236
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Fast detection of soil nitrate has an important significance for variable rate fertilization. As NO<inf>3</inf><sup>-</sup>ion selective electrode is easily affected by chloride ion and temperature interference in its practical application for soil nutrient test, a three-layer artificial neural network model optimized by response surface methodology (RSM) was designed to reduce the interference of Cl<sup>-</sup>on NO<inf>3</inf><sup>-</sup>ion selectivity electrode (ISE) in soil nitrate detection. The output of the model was NO<inf>3</inf><sup>-</sup>-N concentration and three input parameters were temperature, response potential of ISE-NO<inf>3</inf><sup>-</sup>and of ISE-Cl<sup>-</sup>. A multi-layer feed-forward (MLFF) network with one hidden layer and using gradient descent with momentum (GDM) as learning algorithm was used to develop the error correct model. By response surface methodology, a multivariate quadratic equation was developed to quantitatively describe the relationship between mean absolute error (MAE) and topological parameters of the artificial neuron network (ANN) model, then the optimum number of hidden neurons, momentum coefficient, training epoch, step size, and training runs were found. In range of 10 to 40, the best ANN model can correct interference of Cl<sup>-</sup>within 250 mg/kg while the primary ion concentration ranging from 5 to 250 mg/kg. For practical soil nutrient detection, the MAE could reach 8.6 mg/kg and relative standard deviation was lower than 6.5% compared with 16% of no model correction. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:24
Main heading:Neural networks
Controlled terms:Electrodes - Errors - Interference suppression - Ion selective electrodes - Ions - Network layers - Neurons - Nitrates - Nitrogen - Nutrients - Optimization - Soils - Surface properties - Topology
Uncontrolled terms:Artificial neural network modeling - Artificial neuron networks - Correct models - Ion selectivity - Multivariate quadratic equations - Relative standard deviations - Response surface methodology - Variable rate fertilization
Classification code:461.9 Biology - 483.1 Soils and Soil Mechanics - 723 Computer Software, Data Handling and Applications - 802.1 Chemical Plants and Equipment - 804 Chemical Products Generally - 804.2 Inorganic Compounds - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 921.5 Optimization Techniques - 951 Materials Science
DOI:10.11975/j.issn.1002-6819.2015.z2.035
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 12>
Accession number:20154901636944
Title:Rapid 3D reconstruction of fruit tree based on point cloud registration
Authors:Mai, Chunyan (1); Zheng, Lihua (1); Li, Minzan (1)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, China Agricultural University, Ministry of Education, Beijing, China
Corresponding author:Zheng, Lihua(zhenglh@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:137-144
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In order to provide 3D visual image of fruit tree in real-time for guiding orchard production management, a method of 3D reconstruction of fruit tree based on point cloud registration was proposed in this paper. The color images for their corresponding depth of fruit tree were taken by using RGB-D camera from multiple aspect angles. Then 3D point clouds of fruit tree in different perspectives were computed and acquired through fusing the corresponding information of its color image and depth image. And a high-efficiency point cloud registration approach was explored and tested to reconstruct 3D fruit tree's point cloud model quickly: Firstly, data preprocessing of fruit tree's each piece of point cloud was carried out for background removing and original point cloud de-noising based on depth distance judgment and spare noise filtering methods respectively, and accordingly each relative accurate data set was obtained as the fruit tree's point cloud in its each specific perspective. Secondly, the key points of each piece of point cloud were extracted using Normal Aligned Radial Feature (NARF) algorithm based on the depth and boundary information of fruit tree's point cloud, and their corresponding feature vectors were also calculated using Fast Point Feature Histograms (FPFH) descriptor. Thirdly, the feature vectors were compared between two adjacent pieces of point cloud and then pairs of corresponding key points were estimated and extracted. Then those pairs of corresponding key points were validated and refined using the RANdomSAmple Consensus (RANSAC) algorithm to obtain the correct space mapping relationship between two adjacent pieces of point cloud, and further the transformation parameters from one piece of point cloud to its adjacent one were computed. And then, the initial registration of two adjacent pieces of point cloud was completed by transforming them to the same coordinate system according to their transformation parameters. Fourthly, on the basis of the initial registration, the Iterative Closest Point (ICP) algorithm was implemented to achieve accurate registration for two adjacent pieces of point cloud. Finally, using the initial and precise registration algorithm mentioned above, the remaining pieces of point cloud were globally matched and 3D reconstruction of whole individual fruit tree s point cloud model was then realized. Moreover, aiming at decreasing the cost of running time of point cloud registration, a program was developed based on the acceleration of OpenMP mechanism, and the efficiency for point cloud registration process was significantly improved with precision and robustness unchanged. The experiment was carried out and the results showed that the proposed approach could be used to match pieces of point cloud at any arbitrary initial positions to reconstruct 3D point cloud for fruit tree rapidly, and its registration distance error was 0.0068 m. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:24
Main heading:Three dimensional computer graphics
Controlled terms:Algorithms - Application programming interfaces (API) - Cloud computing - Efficiency - Fruits - Image matching - Image processing - Image reconstruction - Iterative methods - Orchards - Stereo image processing - Stereo vision - Surface measurement - Trees (mathematics)
Uncontrolled terms:Accurate registration - Fruit trees - ICP - Initial registration - Iterative closest point algorithm - Point cloud registration - Production management - Transformation parameters
Classification code:722.4 Digital Computers and Systems - 723 Computer Software, Data Handling and Applications - 821.3 Agricultural Methods - 821.4 Agricultural Products - 913.1 Production Engineering - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 921.6 Numerical Methods - 943.2 Mechanical Variables Measurements
DOI:10.11975/j.issn.1002-6819.2015.z2.021
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 13>
Accession number:20154901636943
Title:Design and performance experiment of spherical mixing precision fertigation system
Authors:Ruan, Junjin (1); Zhao, Weishi (1); Dong, Chen (1); Li, Zhuoyuan (1)
Author affiliation:(1) School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:131-136
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:There exists some severe but normal problem that the crop fertilization is uneven such as over or too less fertilized and the concentration can t be well controlled. As to the situation, this paper presents a spherical mixing precision fertilization system, which can realize automatic irrigation, fertilization, injecting fertilizer and mixed fertilizer. The paper introduces the device structure, automatic control system, the software structure and module of the upper computer and the characteristics and the control algorithm of mixed fertilizer system. The electric conductivity (EC) and pH value can be accurately controlled and real-timely regulated to meet the various needs different crops. Utilizing embedded technology, frequency conversion technology, automatic control technology and computer information technology developed the automatic control system of the irrigation and fertilization. The experimental result proves that this system has a good quality for EC and pH valve adjustment, steady performance and good practicability. And the system is stable, reliable and easy to operate, which will greatly enhance the coupling effect of water and fertilizer and fertilizer efficiency and improve the yield and quality. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:11
Main heading:Computer control systems
Controlled terms:Agricultural machinery - Algorithms - Automation - Control - Control systems - Crops - Design - Fertilizers - Irrigation - Machine design - Mixing - Process control - Spheres
Uncontrolled terms:Automatic control technologies - Computer information technology - Fertilizer efficiency - Frequency conversion technology - Intelligent mixing fertilize - Performance experiment - Precision fertilizations - Spherical mixed fertilizer device
Classification code:601 Mechanical Design - 731 Automatic Control Principles and Applications - 731.1 Control Systems - 802.3 Chemical Operations - 804 Chemical Products Generally - 821 Agricultural Equipment and Methods; Vegetation and Pest Control
DOI:10.11975/j.issn.1002-6819.2015.z2.020
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 14>
Accession number:20154901636941
Title:Spectral characteristics analysis and chlorophyll content detection of sugarcane leaves under different fertilizer treatments
Authors:Li, Xiuhua (1); Chen, Xiao (1); Zhou, Yonghua (1); Nong, Mengling (2); Liu, Xiaoyang (1); Ai, Jiaoyan (1)
Author affiliation:(1) College of Electric Engineering, Guangxi University, Nanning, China; (2) College of Agriculture, Guangxi University, Nanning, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:118-123
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In order to investigate the visible-NIR spectral features of the leaves of a sugarcane variety (ROC 22), the spectral reflectance and the chlorophyll content were measured in the laboratory, and their correlations were analyzed. Prediction models were built eventually. Results showed that the negative correlations with r greater than 0.8 was found in 527-578 nm and 701-731 nm between spectral reflectance and chlorophyll content. And the red edge position (REP) was also found having high correlation with chlorophyll content, with the highest r of 0.8442. In order to explore the most sensitive bands for normalized difference vegetation index (NDVI), 48471 NDVI values were computed with different wavebands for each sample and their correlations with chlorophyll were also analyzed. The distribution maps of NDVI and its correlations in a two-spectral-dimension space both indicated that the red bands had significant influence than the NIR bands. The suggested sensitive red range was 710-735 nm, especially 720-725 nm; and the sensitive NIR range was from 780-850 nm, which had the higher robustness. The chlorophyll predication model with NDVI(725 and 840 nm) in tillering stage had determination coefficients of 0.7386, and was recommended for guiding the subsequent ridging fertilization. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:13
Main heading:Chlorophyll
Controlled terms:Infrared devices - Reflection - Spectrum analysis - Sugar cane
Uncontrolled terms:Band selection - Chlorophyll contents - Determination coefficients - NDVI - Negative correlation - Normalized difference vegetation index - Spectral characteristics - Spectral reflectances
Classification code:804.1 Organic Compounds - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.018
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 15>
Accession number:20154901636959
Title:Modeling and analysis of eco-hydrological factors influencing fish distribution
Authors:Zhang, Tianjiao (1, 2); Liu, Gang (1, 2); Worthington, Thomas A. (3); Brewer, Shannon K. (3); Storm, Dan E. (4)
Author affiliation:(1) Key Lab of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China; (2) Key Lab of Agricultural Information Acquisition Technology, Ministry of Agricultural, China Agricultural University, Beijing, China; (3) U.S. Geological Survey, Oklahoma Cooperative Fish and Wildlife Research Unit, Stillwater; OK, United States; (4) Department of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater; OK, United States
Corresponding author:Liu, Gang(pac@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:237-245
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:The change of flow regime under the disturbance of human activity leads to alteration in fish distribution. To accurately analyze key eco-hydrological characteristics, Arkansas River federally endangered small-bodied fish: pelagic broadcast-spawning cyprinids reproductive guild (Arkansas River Shiner, Notropis girardi, "ARS" for short) was studied. According to the hydrological requirements for the spawning, daily flow data from 40 flow gages in the historic period (1950-1962) and the current period (1989-2010) were downloaded for the calculation of three important ecological hydrological fators: high flow, high flow duration and zero flow days. In combination with 25 other environmental factors, three species distribution model based on the theory of maximum entropy (MaxEnt) were established to analyze the contribution and influence of three flow metrics to the predicted distribution. The classical method (Receiver Operating Characteristic, ROC) and Parolo's calculation of the Spearman's rho correlation coefficient before and after the transfer of the models were used to evaluate the model fit and transferability of the models. The area under the ROC curve (AUC) greater than 0.95 and the Spearman's rho value greater than 0.6 for all the three models showed the good model fit and transferability of the models. Of the three flow metrics, high flow made the highest contribution to the model fit and had the most significant effect on the potential distribution of the fish. In different period, the species occurrence probability changed differently as the flow metric varied. Our study could provide valuable references for the protection of endangered fish in China. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:33
Main heading:Fish
Controlled terms:Ecology - Ecosystems - Models
Uncontrolled terms:Area under the ROC curve - Hydrological characteristics - Hydrological factors - MaxEnt models - Pelagic eggs - Receiver operating characteristics - Spawning period - Species distribution modeling
Classification code:454.3 Ecology and Ecosystems
DOI:10.11975/j.issn.1002-6819.2015.z2.036
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 16>
Accession number:20154901636962
Title:Development of grain yield monitoring system based on CAN bus technology
Authors:An, Xiaofei (1, 2); Meng, Zhijun (1, 2); Wu, Guangwei (1, 2); Li, Liwei (1, 2); Wei, Xueli (1, 2)
Author affiliation:(1) Beijing Research Center for Intelligent Agricultural Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China; (2) National Research Center of Intelligent Equipment for Agriculture, Beijing, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:262-266
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:It depended on the spatial and temporal variation of soil and grain yield to implement precision agriculture. Grain yield monitoring on combine harvester was a cornerstone of precision fertilization. The intelligent grain yield monitoring system with the sensors and DGPS (differential global positioning system), which was loaded on the combine harvester, could get the different blocks yield and produce the yield map. In this study, a new grain yield monitoring system based on CAN bus technology was developed. The system consisted of sensor unit, data acquisition unit, GPS module and LCD (liquid crystal display) terminal. The grain yield data were collected by the grain flow sensor, and processed by the signal condition circuit. And then the grain yield data and GPS signal were transmitted to the control unit by CAN bus. With the algorithm of grain yield conversion, all the collected data including real-time grain yield, harvest area and average grain yield were displayed on the LCD terminal. Flow sensor unit included grain yield flow sensor, force impact plate and mounting bracket. The sensor frame was mounted at the top of clean grain elevator of combine harvester. When the elevator paddles rotated around the sprocket, grain was propelled towards a flat impact plate. As grain momentum was lost in the subsequent collision with the impact plate, an effective force was measured by the impact parallel-beam load cell. Along with the calibration relationship between measured force and mass flow rate, the output of the impact parallel-beam load cell could indicate the flow rate of grain yield. Data acquisition unit included power conversion circuit, sensor signal acquisition circuit, analog-to-digital conversion circuit and CAN communication circuit. It could fulfill data acquisition function, CAN communication function and interrupt handling function. LCD terminal had the function of sensor detection, the function of GPS information collection, parameter calibration, data display and storage. It could display the real-time grain yield, total yield, average yield and harvest area. In order to evaluate the grain yield monitoring system, 3 experiments which included static performance experiment of grain yield flow sensor, platform test experiment of grain yield monitoring system and dynamic performance experiment on combine harvester were carried out. The result of platform test experiment showed that the system error between predicted yield and measured yield was less than 3% and the system could avoid the effect of vibration from the platform effectively. Field dynamic experiment showed that the system error was less than 5%. Both the experimental results indicated that the grain yield monitoring system could satisfy the need of practical production. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:14
Main heading:Monitoring
Controlled terms:Agriculture - Analog to digital conversion - Calibration - Crops - Data acquisition - Digital storage - Digital to analog conversion - Elevators - Global positioning system - Grain (agricultural product) - Harvesters - Liquid crystal displays - Signal processing
Uncontrolled terms:CAN bus - Differential global positioning systems - Flow-sensors - Information collections - Precision Agriculture - Precision fertilizations - Spatial and temporal variation - Yield
Classification code:692.2 Elevators - 716.1 Information Theory and Signal Processing - 722.1 Data Storage, Equipment and Techniques - 723.2 Data Processing and Image Processing - 821 Agricultural Equipment and Methods; Vegetation and Pest Control
DOI:10.11975/j.issn.1002-6819.2015.z2.039
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 17>
Accession number:20154901636952
Title:Multi-spectral image detection for maize canopy's chlorophyll content in jointing stage
Authors:Sun, Hong (1); Zhao, Yi (2); Zhang, Meng (1); Wen, Yao (2); Li, Minzan (1, 2); Yang, Wei (1); Qin, Zhang (3)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing, China; (3) Center for Precision and Automated Agricultural Systems, Washington State University, Prosser, United States
Corresponding author:Li, Minzan(limz@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:186-192
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In order to explore the rapid detection method of field maizecanopy's chlorophyll index. A 2-CCD multi-spectral image monitoring system was used to collect multi-spectral images of maize canopy in the field, and SPAD index of each sample was measured to show the chlorophyll content index. The collected RGB (red, green, and blue) and NIR (near-infrared) images were processed by median filtering algorithm to eliminate the noise, and then HSI color model was used to segment the image of maize canopy from background. The average gray level of R, G, B and NIR bands were extracted from the processed images, and RVI, NDVI and other vegetation indexes were calculated based on those average gray levels. The correlation between the 12 parameters and chlorophyll content were analyzed, and a variety of combinations of image detection parameters were discussed, and multiple linear regression models (MLR) for chlorophyll content were established. The results showed that there is an obvious negative correlation between the average gray level of red, green, blue bands and the chlorophyll content, correlation coefficients are -0.73, -0.71 and -0.71, the correlation coefficients between the NDVI, MSAVI2, RVI and the chlorophyll content was 0.83, 0.81 and-0.81, separately, higher than other vegetation indexes. According to the results of correlation analysis, the parameters including R, G, B, NDVI, MSAVI2 and RVI were used to establish MLR models for chlorophyll content index, which is more sufficient than the models based on separate parameters, and the calibration determination coefficient r<sup>2</sup>is 0.79, and validation determination coefficient r<sup>2</sup>is 0.71. Research provides a support for the nondestructive detection of chlorophyll content atmaize jointing stage. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:21
Main heading:Image processing
Controlled terms:Chlorophyll - Color image processing - Image segmentation - Infrared devices - Linear regression - Median filters - Models - Regression analysis - Spectroscopy - Vegetation
Uncontrolled terms:Correlation coefficient - Determination coefficients - Median filtering algorithm - Multiple linear regression models - Multispectral images - Negative correlation - Nondestructive detection - Vegetation index
Classification code:703.2 Electric Filters - 741.1 Light/Optics - 804.1 Organic Compounds - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.029
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 18>
Accession number:20154901636950
Title:Non-destructive detection of chlorophyll content in maize using three-wavelength diffuse reflectance
Authors:Gu, Dongdong (1); Wang, Wanzhang (1); Hu, Jiandong (1); Zhang, Xiaomei (2); Wang, Jianbo (1); Wang, Baoshan (1)
Author affiliation:(1) College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China; (2) College of Information and Management Science, Henan Agricultural University, Zhengzhou, China
Corresponding author:Wang, Wanzhang(wangwz@126.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:174-179
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Transmission colorimetric method is a traditional method of chlorophyll content nondestructive determination. Plant leaves thickness significantly affect the accuracy of measurement. In this paper, an experimental instrument using a three-wavelength diffuse reflectance was proposed. Three different maize breeds, Zhengdan-958, Xundan-20 and Yudan-606 were verified by using this instrument. The regression analyses between remission function values of diffuse reflectance and the real content of total chlorophyll were established. The determination coefficients of R<sup>2</sup>between remission function values and the real content of total chlorophyll were 0.9766 for the Zhengdan-958 leaves, 0.9612 for the Xundan-20 leaves and 0.9409 for the Yudan-606 leaves. The experimental results showed the feasibility of diffuse reflectance spectrum for the detection of the total content chlorophyll. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:30
Main heading:Chlorophyll
Controlled terms:Plants (botany) - Reflection - Regression analysis - Spectrum analysis
Uncontrolled terms:Accuracy of measurements - Determination coefficients - Diffuse reflectance - Diffuse reflectance spectrum - Maize - Nondestructive detection - Nondestructive determination - Three-wavelengths
Classification code:804.1 Organic Compounds - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.027
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 19>
Accession number:20154901636927
Title:Design and experiment of obstacle avoidance of binocular vision recognition system
Authors:Zhuang, Xiaolin (1); Zhang, Tiemin (1)
Author affiliation:(1) College of Engineering, South China Agricultural University, Guangzhou, China
Corresponding author:Zhang, Tiemin(tm-zhang@163.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:24-30
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:For the reasons of the complex working environment and plenty of obstacles in facility agriculture, this paper studied the problem of identifying the obstacles by binocular vision recognition system. Binocular vision system was built up at first. OpenCV and Matlab were used for the binocular camera calibration respectively. Secondly, Bouguet algorithm was used to rectify the input images and analyse three kinds of matching algorithms. Then the smallest enclosing moment of the object could be extracted. At last, the distance between the objects was calculated and 3D reconstruction was used. The experimental results showed that the binocular vision system had high reliability, high real time, strong anti-interference ability and lower cost which can identify different obstacles with a wide application rage. It could satisfy the operational requirements of the unmanned control vehicle s automatic obstacle avoidance in facility agriculture, and laid the foundation for vehicle obstacle avoidance and navigation. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:32
Main heading:Computer vision
Controlled terms:Agricultural machinery - Agriculture - Algorithms - Binocular vision - Bins - Collision avoidance - Image matching - Image reconstruction - Stereo image processing
Uncontrolled terms:3D reconstruction - Binocular vision systems - Facility agricultures - Matching algorithm - Navigate - Operational requirements - Vision recognition - Working environment
Classification code:694.4 Storage - 723.2 Data Processing and Image Processing - 741.2 Vision - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.1 Agricultural Machinery and Equipment - 914.1 Accidents and Accident Prevention
DOI:10.11975/j.issn.1002-6819.2015.z2.004
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 20>
Accession number:20154901636949
Title:Estimation of maize chlorophyll content by vehicle-mounted crop canopy sensor
Authors:Liu, Haojie (1); Li, Minzan (1, 2); Sun, Hong (1); Zhao, Yi (2); Wen, Yao (2); Yang, Wei (2)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, Beijing, China
Corresponding author:Li, Minzan(limz@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:169-173
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Crop canopy sensor based estimation is an efficient approach to estimate chlorophyll content of crop. Cropspec<sup>™</sup>is an active vehicle mounted crop canopy sensor, with the fixed wavebands being 735 nm and 808 nm. Using pulsed laser diodes as light source, the sensor is designed to irradiate the crop at an oblique view in height up to 4 meters for measuring crop canopy of various crops accurately in a large footprint. In this paper, a set of vegetation indices (DVI<inf>735</inf>, RVI<inf>735</inf>, NDVI<inf>735</inf>, PVI<inf>735</inf>, RDV<inf>735</inf>and MRVI<inf>735</inf>) were calculated and measured by the Cropspec<sup>™</sup>sensor, and the correlation analysis between vegetation indices and chlorophyll content index were explored. The results showed that MRVI<inf>735</inf>and NDVI<inf>735</inf>had high correlation with coefficients R of-0.7842 and 0.7240 corresponding to ND8 and JNK respectively, proving that RVI<inf>735</inf>was more appropriate parameter for chlorophyll content estimation. A ULR model and a MLR model were established for each cultivar. For ND8, R<inf>c</inf><sup>2</sup>of the ULR and MLR models were 0.6052 and 0.7774, respectively. For JNK, R<inf>c</inf><sup>2</sup>of the ULR and MLR models were 0.5449 and 0.5625, respectively. The results showed that MRVI<inf>735</inf>and NDVI<inf>735</inf>can be used in practice to estimate the chlorophyll content of different maize cultivars. This paper proved that Cropspec<sup>™</sup>Sensor was feasible to detect the maize chlorophyll content non-destructively and quickly. The study provided theoretical reference for further researches on the estimation of chlorophyll content of crop. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:16
Main heading:Chlorophyll
Controlled terms:Crops - Light sources - Vegetation
Uncontrolled terms:Canopy reflectance - Maize - Non destructive - Specturm analysis - Vegetation index
Classification code:804.1 Organic Compounds - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.026
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 21>
Accession number:20154901636947
Title:Chlorophyll content mapping of crops in Heihe River Basin based on hyperspectral vegetation indices
Authors:Liao, Qinhong (1, 2)
Author affiliation:(1) College of Life Science and Forestry, Chongqing University of Art and Science, Yongchuan, China; (2) Special Plants Research Institution, Chongqing University of Arts and Sciences, Yongchuan, China
Corresponding author:Liao, Qinhong(lqhwisdom@163.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:159-163
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Recent advances in optical remote sensing led to improved methodologies to monitor crop properties. The red-edge-based vegetation index considered to be one of the most powerful tools for estimating the chlorophyll content (Chl) was usually constructed from in-situ hyperspectral reflectance. In this paper, we present the work done to compare the Chi predictive quality by various red-edge-based vegetation indices based on the CASI data. The results indicated that among the selected vegetation indices, TCARI/OSAVI-based model estimated Chl (R<sup>2</sup>=0.46, RMSE=0.60 and P<0.01) with the best accuracy. To search the optimal vegetation index for Chl estimation, the normalized difference spectral index (NDSI) and ratio spectral index (RSI) were developed by using the waveband combination algorithm. A high linear correlation (R<sup>2</sup>=0.79, RMSE=0.38 and P<0.01) was acquired by combining the 869.20 and 754.90 nm wavebands, then NDSI (869.20, 75490) was applied to the CASI image to generate the Chl distribution map. It suggests that more fertilizer should be provided for the southwest areas due to the lower Chi. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:21
Main heading:Vegetation
Controlled terms:Algorithms - Chlorophyll - Crops - Mapping - Remote sensing
Uncontrolled terms:CASI data - Chlorophyll contents - Hyperspectral reflectance - Hyperspectral vegetation indices - Normalized differences - Optical remote sensing - Vegetation index - Wavebands
Classification code:405.3 Surveying - 804.1 Organic Compounds - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.024
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 22>
Accession number:20154901636940
Title:Vehicular soil electrical conductivity and spectral reflectance detection system based on Android
Authors:Pei, Xiaoshuai (1); Zheng, Lihua (1); Sun, Hong (1); Li, Minzan (1); Yang, Wei (1)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China
Corresponding author:Li, Minzan(limz@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:112-117
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:This paper aims to develop a vehicular integrated system collecting soil electrical conductivity (EC) and spectral reflectance. The system could collect soil EC and spectral reflectance automatically when the vehicle moves and save these measurement results with GPS. The information could reflect the characteristics of soil parameters such as soil salinity and water content. Hence, an Android-based vehicular detection system for soil conductivity and spectral reflectance information was developed. Soil electrical conductivity measurement was performed based on improved "current-voltage" four-terminal method. A STS-NIR spectrometer was used for collecting near-infrared spectral reflectance. The system collected the information of soil electrical conductivity and soil spectral reflectance while collecting GPS, which could be used for precision agriculture. The system was tested in a farm of Beijing on March 25, 2014. Soil electrical conductivity of the farmland was measured and soil samples were collected. Water content and soil electrical conductivity were measured in the laboratory. The result of these experiments showed that the system could work stably in farmland and had good prospects. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:16
Main heading:Soil surveys
Controlled terms:Agriculture - Android (operating system) - Electric conductivity - Electric variables measurement - Farms - Global positioning system - Infrared devices - Reflection - Soils - Spectrum analysis - Water content
Uncontrolled terms:Android - Integrated systems - Near-infrared spectral reflectances - Precision Agriculture - Soil electrical conductivity - Soil spectral reflectance - Spectral reflectances - Vehicular detection
Classification code:483.1 Soils and Soil Mechanics - 701.1 Electricity: Basic Concepts and Phenomena - 723 Computer Software, Data Handling and Applications - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 942.2 Electric Variables Measurements
DOI:10.11975/j.issn.1002-6819.2015.z2.017
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 23>
Accession number:20154901636960
Title:Simulation and analysis of light availability difference for inter-rows of subordinate crop within strip-intercropping system
Authors:Ren, Shaoting (1); Liu, Xiaohong (1); Li, Baoguo (1); Zhu, Jinyu (2); Ma, Yuntao (1)
Author affiliation:(1) College of Resources and Environmental Sciences, China Agricultural University, Beijing, China; (2) Institute of Vegetables and Flowers, Chinese Academy of Agricultural Science, Beijing, China
Corresponding author:Ma, Yuntao(yuntao.ma@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:246-255
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Intercropping is relatively common and important in tropical and temperate areas because of the effective utilization of resources such as solar energy, water and nutrients, and reduced incidence of weeds, insect pests, and diseases. Among resources, light partitioning is a crucial issue in multi-species canopies because light is involved in most plant responses (e.g. photosynthesis, transpiration, morphogenesis). Numerous experiments have been conducted to investigate radiation interception and utilization by sole and intercropped crops. The hypothesis in these models is that the slowly developing subordinate canopy does not intermingle with the dominant canopy. Therefore, separate strata are used for the whole intercropping period. Interaction among crops in strip intercropping occurs primarily at the edge rows of the strips. It may not be possible to separate border/inner row differences on light interception in these models. Light interception within 3D plant canopies were also implemented with different levels of detail, ranging from plant or facet projections to ray-tracing and radiosity techniques. However, such kinds of calculations need high performance computing system and computing time, and are difficult to be widely used. Munz et al. developed a light partitioning model to calculate the available amount of photosynthetically active radiation (PAR) at the top of the canopy for a given point within a strip of a smaller, subordinate crop. The model captured reasonably the influence of strip design and maize canopy architecture. However, the simulation accuracy will decrease for narrow stripped intercropping systems. Therefore, the objectives of this study were to: 1) introducing maize leaf area density distribution within the canopy and recalculating extinction coefficient (K<inf>d</inf>) of scattered radiation based on the experimental data into the model of Munz et al.; 2) evaluating this modified instantaneous light partitioning model for narrow strip intercropping systems and calculating the available amount of PAR at the top of the canopy of a given row within the strip of a subordinate crop; Field experiment was conducted in 2014 at the Shang zhuang experimental farm (40°08'N, 116°10'E) of the China Agricultural University. Maize (ZD958) and soybean(ZH30) were planted in a north-south orientation on 1 May and harvested on 4 October. The field experiment comprised two treatments: 1) three rows of intercropped maize with six rows of intercropped soybean (3:6), this is normally planted in east-north of China; 2) two rows of intercropped maize with three rows of intercropped soybean(2:3). At silking stage, plant height of 20 plants of maize and soybean were measured. Leaf area was recorded with LI-COR area Meter at the interval of 10 cm canopy height. Photosynthetically active radiation (PAR) was measured with QSO-S PAR sensors. The data was recorded continuously in ten-minute intervals with a EM50 data logger. The results indicated that high accuracy of simulations, under both clear and overcast conditions were found for the comparison between ten-minute averaged simulated and observed values of PAR across the bush bean strip for both treatments. Overall, simulations of ten-minute values of PAR across the bean strip showed that the results is better for 3:6 treatments compared with 2:3 treatments, and inner rows were better than the border rows: the range of a root mean square error(RMSE) for 3:6 intercropping system were 59.1-76.4 μmol/(m<sup>2</sup>·s) for the middle row, 76.8-99.7 μmol/(m<sup>2</sup>·s) for the inner row, 97.2-157.8 μmol/(m<sup>2</sup>·s) for the border row and the range of determination coefficient (R<sup>2</sup>) is 0.76-0.99; The range of RMSE for 2:3 intercropping system were: 94.9-129.5 μmol/(m<sup>2</sup>·s) for middle row and 125.8~181.0 μmol/(m<sup>2</sup>·s) for border row and the range of R<sup>2</sup>is 0.83-0.97. The modified model proved to be a helpful tool for understanding the characteristics of light availability across the strip of the subordinate species and their contributions to yields in the strip-intercropping systems. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:29
Main heading:Plants (botany)
Controlled terms:Crops - Heat radiation - Mean square error - Models - Radiation - Ray tracing - Solar energy
Uncontrolled terms:Determination coefficients - Effective utilization of resources - Extinction coefficients - High performance computing systems - Light distribution - Photosynthetically active radiation - Simulation and analysis - Strip-intercropping
Classification code:641.2 Heat Transfer - 657.1 Solar Energy and Phenomena - 741.1 Light/Optics - 821.4 Agricultural Products - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.037
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 24>
Accession number:20154901636938
Title:Navigation control parameter tuning method based on AutoTrac
Authors:Huang, Peikui (1, 2); Zhao, Zuoxi (1, 2); Jin, Jundong (1, 2); Li, Yelin (1, 2); Ke, Xinrong (1, 2); Zhang, Zhigang (1, 2); Shi, Lei (1, 2)
Author affiliation:(1) Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China; (2) College of Engineering, South China Agricultural University, Guangzhou, China
Corresponding author:Zhao, Zuoxi(zhao_zuoxi@scau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:100-106
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Navigation control parameters tuning is a challenge for modern automatic guidance control, so as to keep the machine on the desired path or to approach the desired path as quickly as possible without too much overshooting. The John Deere's AutoTrac is typical navigation system with a low-cost auto steering system incorporating a GPS receiver and built-in algorithm to control the vehicle's steering wheel. To maintain the navigation performance of AutoTrac in different working conditions like soil properties and operation speed, the algorithm in the controller defines as many as nine parameters, a difficult and time-consuming task for normal operators. A universal navigation control parameters tuning method was pro-posed base on Taguchi method and orthogonal experiment. Verify experiments were carried out on John Deere's AutoTrac with XUV825i gator vehicle. Tests were done with RTK signal under straight line navigation mode in different soil properties and operation speeds. Optimal range of key AutoTrac navigation control parameters, such as steering sensitivity, line sensitivity tracking and line sensitivity heading at steady-state, were found via first course tuning and then fine tuning. Tests results indicated that soil properties and operation speed had influence on navigation accuracy in stable. Moreover, the proposed method was proved to be efficient in tuning navigation control parameters. It was proved that the optimal range of navigation control parameters was suitable for normal agriculture environment. The proposed method was suitable for other automatic navigation system and it paved the way for further development of adaptive control system of navigation control parameters in autonomous navigation systems. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:29
Main heading:Adaptive control systems
Controlled terms:Agricultural machinery - Agriculture - Air navigation - Automobile steering equipment - Electronic guidance systems - Global positioning system - Navigation - Navigation systems - Optimization - Soil testing - Soils - Steering - Taguchi methods - Tuning
Uncontrolled terms:Agriculture environments - Automatic navigation systems - Autonomous navigation systems - AutoTrac - Navigation performance - Orthogonal experiment - Parameter-tuning - Steering sensitivities
Classification code:431.5 Air Navigation and Traffic Control - 483.1 Soils and Soil Mechanics - 662.4 Automobile and Smaller Vehicle Components - 731.1 Control Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.1 Agricultural Machinery and Equipment - 913.3 Quality Assurance and Control - 921.5 Optimization Techniques
DOI:10.11975/j.issn.1002-6819.2015.z2.015
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 25>
Accession number:20154901636929
Title:Quality evaluation method and optimization of operating parameters in crop aerial spraying technology
Authors:Liao, Juan (1); Zang, Ying (1, 2); Zhou, Zhiyan (1, 2); Luo, Xiwen (1)
Author affiliation:(1) Engineering Research Center for Agricultural Aviation Application, College of Engineering, South China Agricultural University, Guangzhou, China; (2) Collaborative Innovation Center for Grain and Oil Crops in South China, Changsha, China
Corresponding author:Zang, Ying(yingzang@scau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:38-46
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Contrasting with terrain-machine, aerial craft is more flexible and efficient. So aerial spraying has abstracted high attention in recent years. It has become the popular trend of crop protection. America was the first country using the aircrafts in aerial spraying, and has gotten the most mature technologies in aerial spraying. Japan, Australia, Russia and Korea also had the advanced technologies and made great progresses all over the world. Many aircraft models have been used in aerial spraying, but the rotor Micro UAV(unmanned aerial vehicle) has been used more widely in aerial spraying, due to the advantages of better adaptability, taking off and landing vertically, and fixed-point hovering. The primary evaluation index for quality of aerial spraying are the droplet distribution coverage, uniformity and spraying drift. The main factors which influence the aerial spraying quality are as follows: aircraft model, nozzle model, nozzle hole diameter, spraying pressure, spraying angle, meteorological conditions (temperature, humidity, wind speed, wind direction), operation height, operation speed, reagent combination and reagent concentration. They affect the deposition character of the droplets on the plants' surface, and then have effect on the spaying quality ultimately. Since the droplets distribution characteristics is the main factor to determine the effect of aviation plant protection, research on the droplet distribution under the condition of different factors can provide references for choosing optimum parameters. How to improve the spray quality and spray efficiency of aerial spraying and the utilization of pesticide, reduce environment pollution, and realize the controllability of droplets are some of the main focuses of aerial spraying at present. Lack of scientific and technological guidance is the cause of blind operations in aerial spraying, which is the main reason of low quality and efficiency of aerial spraying, low utilization of pesticide and severe environment pollution. This paper was based on in-depth analysis of the status of aerial spraying of plant protection, and pointed out the main problems existing in China's agricultural aviation of plant protection were followed: 1) The quality of aerial spraying is general low; 2) There are still room for improvement of spraying efficient; 3) The pesticide utilization ratio in aerial spraying is low; 4) Aerial spraying causes environmental pollution. According to the review, the further research on key technologies should be focusing on building forecasting model for droplet distribution and spraying drift of aerial spraying, and establishing decision-making system to realize controllability of droplets. In this system, users enter the default parameters (aircraft model, nozzle model, nozzle hole diameter, spraying pressure, spraying angle, temperature, humidity, wind speed, operation height, operation speed and reagent), and then, the system outputs the forecasting effect (droplet diameter and droplet distribution). In summary, the methods of aviation technical specification of plant protection and the establishment of decision-making system for major crops(rice and cotton) of China were pointed out, in order to provide a theoretical basis and decision guidance for aerial spraying in China. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:70
Main heading:Spray nozzles
Controlled terms:Agricultural machinery - Air navigation - Aircraft models - Crops - Decision making - Deposition - Drops - Efficiency - Fighter aircraft - Hole concentration - Machinery - Mechanization - Models - Nozzles - Pesticides - Pollution - Quality control - Spraying - Unmanned aerial vehicles (UAV) - Wind
Uncontrolled terms:Aerial spraying - Distribution characteristics - Droplet deposition - Environmental pollutions - Meteorological condition - Quality evaluation method - Technical regulation - Technical specifications
Classification code:431.5 Air Navigation and Traffic Control - 443.1 Atmospheric Properties - 601 Mechanical Design - 631.1 Fluid Flow, General - 652.1 Aircraft, General - 652.1.2 Military Aircraft - 701.1 Electricity: Basic Concepts and Phenomena - 802.3 Chemical Operations - 803 Chemical Agents and Basic Industrial Chemicals - 821.1 Agricultural Machinery and Equipment - 821.4 Agricultural Products - 912.2 Management - 913.1 Production Engineering - 913.3 Quality Assurance and Control
DOI:10.11975/j.issn.1002-6819.2015.z2.006
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 26>
Accession number:20154901636965
Title:Design and experiment of intelligent far-infrared-vacuum low-temperature dryer
Authors:Wang, Xin (1); Che, Gang (1); Wan, Lin (1)
Author affiliation:(1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
Corresponding author:Wan, Lin(381995603@qq.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:277-284
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In recent years, dehydrated fruits and vegetables processing industry is developed rapidly, the demand is increasing year by year, not only is used a lot by instant noodles production manufacturers, but also solved the problem of the border, the geological department have difficult in having vegetables. Therefore, the dehydration vegetable market prospect is bright, the development potential is great. For the problems of the production efficiency is low, poor quality, high production cost, large energy consumption, complicated operation, intelligent degree low and it is difficult to meet the high moisture quick drying and other issues in the current process of dehydrated fruits and vegetables, this study combines the advantages of far infrared and vacuum drying methods, integrated water vapor trapping set device and intelligent control technology, the intelligent low temperature far infrared vacuum dryer was designed. The dryer is made up of heating system, vacuum system, cooling system, intelligent electronic control system and auxiliary system. In the process of drying, a large amount of water vapor in the process of rapid setting and drying process was achieved by using water vapor trap device, through the intelligent electronic control system for material weight, material temperature, heating temperature, the degree of vacuum inside the warehouse, the warehouse humidity and energy consumption and other process parameters within a certain range of real-time monitoring to achieve the full automation of drying. This study described the intelligent far-infrared vacuum dryer working principle and the design points of general structure, identified the design structure of the main working parts and related parameters. Using this machine and the traditional far infrared vacuum dryer, under the same experimental conditions (far infrared radiation heating temperature was 70, vacuum degree of 3000 Pa, the material thickness of 7 mm), with high water material turnip as experimental material performance verification contrast experiment was carried out. Selected drying time, processing capacity, dehydration rate, dry strength, drying capacity, drying uniformity coefficient and unit energy consumption as the device performance evaluation index, and do specific analysis for the sensory quality of turnip. The results showed that the structure was reasonable, the performance was stable, safe and reliable, Comparied with traditional far-infrared vacuum dryer, the dry time was shortened by 22.14%, the processing capacity was 31.58%, and the drying capacity was increased by 31.52%, the average dehydration rate was 28.40%, the unit energy consumption was reduced by 13.33%, and the drying uniformity coefficient was 0.97. Stem cell breakage rate products, deformation rate, shrinkage rate decreased significantly, higher surface flatness saving rate, cell breakage and less deformation, micro morphological structure remains good, could truly reflect the organizational structure of the original sample, and achieved good drying effect, color, smell, taste, shape, texture and other evaluation would be enhanced sensory quality guaranteed. The research has solved the problems of low efficiency, low quality, high production cost, low energy consumption, high operation complexity and low intelligence. It can meet the requirements of the drying of most fruits and vegetables and provides the technical basis for the intelligent remote infrared vacuum drying technology applied to the high moisture content. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:25
Main heading:Infrared drying
Controlled terms:Control systems - Deformation - Dehydration - Design - Dryers (equipment) - Drying - Electronic cooling - Energy efficiency - Energy utilization - Experiments - Fruits - Humidity control - Industrial electronics - Infrared radiation - Low temperature drying - Low temperature production - Moisture - Quality control - Sensory analysis - Servomechanisms - Stem cells - Temperature - Thermal processing (foods) - Vacuum - Vegetables - Warehouses - Water vapor
Uncontrolled terms:Experimental conditions - Experimental materials - Far infrared - Far-infrared radiation - Integrated water vapors - Intelligent electronics - Morphological structures - Organizational structures
Classification code:461.2 Biological Materials and Tissue Engineering - 525.2 Energy Conservation - 525.3 Energy Utilization - 633 Vacuum Technology - 641.1 Thermodynamics - 641.2 Heat Transfer - 694.4 Storage - 705 Electric Generators and Motors - 731.1 Control Systems - 741.1 Light/Optics - 802.2 Chemical Reactions - 802.3 Chemical Operations - 821.4 Agricultural Products - 822.2 Food Processing Operations - 901.3 Engineering Research - 913.3 Quality Assurance and Control
DOI:10.11975/j.issn.1002-6819.2015.z2.042
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 27>
Accession number:20154901636956
Title:Remote monitoring system of pig motion behavior and piggery environment based on Internet of Things
Authors:Duan, Yuyao (1, 2); Ma, Li (1, 3); Liu, Gang (1, 2)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing, China; (3) College of Information Science and Technology, Agricultural University of Hebei, Baoding, China
Corresponding author:Liu, Gang(pac@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:216-221
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In intensive and large-scale livestock breeding, how to evaluate welfare of each individual effectively has become one hotspot of welfare breeding. In this study, a remote monitor system based on computer vision technology and wireless sensor networks was proposed. In the system, pig videos in the piggery were captured by IP cameras and transmitted remotely to PC systems for objects tracking and trajectory extraction, and the piggery environmental data such as temperature, humidity and harmful gases were collected by wireless sensor networks (WSN) nodes. Traditional Camshift tracking algorithm was improved. The average root mean square errors of traditional and improved algorithm were 78.07 and 32.29, indicating the improved algorithm reduced error and improved tracking stability. The results of the real-time monitoring of environmental parameters by WSN showed that the hydrogen and ammonia concentrations, and the ambient temperature were all kept in the normal range, while the carbon dioxide concentration was exceeded, and the air humidity was slightly high. Through data mining, precise welfare monitoring and breeding management were realized. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:17
Main heading:Wireless sensor networks
Controlled terms:Agriculture - Algorithms - Carbon - Carbon dioxide - Computer vision - Data mining - Internet of things - Mean square error - Monitoring - Remote control - Sensor nodes
Uncontrolled terms:Ammonia concentrations - Animal welfare - Carbon dioxide concentrations - Computer vision technology - Environmental parameter - Remote monitoring - Remote monitoring system - Root mean square errors
Classification code:722 Computer Systems and Equipment - 722.3 Data Communication, Equipment and Techniques - 723 Computer Software, Data Handling and Applications - 731.1 Control Systems - 804 Chemical Products Generally - 804.2 Inorganic Compounds - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.033
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 28>
Accession number:20154901636948
Title:Application of spectral screening method on prediction model of nitrogen content of jujube leaves
Authors:Yang, Wei (1); Li, Minzan (1); Zheng, Lihua (1); Sun, Hong (1)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China
Corresponding author:Li, Minzan(limz@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:164-168
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:To improve the accuracy and robustness of near infrared spectroscopy technique for rapid determination of jujube leaves nitrogen content, partial least squares (PLS) were used to establish the jujube leaf nitrogen content model in near infrared spectroscopy. Correlation coefficient of model was 0.799 and root mean square error was 0.055. The whole spectral region contains many spectral variables which has nothing to do with jujube leave nitrogen content. The existence of the redundant information reduces the prediction performance of the model. So the interval partial least squares (IPLS) combined with genetic algorithm and simulated annealing algorithm were used to extrat wavelength of the nitrogen content of jujube leaves. The nitrogen contents of jujube leaf samples were determined by Kjeldahl analysis method. The experiment selected 15 jujube trees; each tree selected 5 leaves as a test target. Spectral measurement instrument used in test is ASD spectrometer, and wavelength range of the machine is 350-2500 nm, and the spectral resolution is 1 nm. Whiteboard correction (standard whiteboard reflectivity is set to 1) was used before data collection, and each spectra sample were measured for 5 times, taking the average value as the relative reflectivity of the sample. The genetic algorithm combined with interval partial least squares method selected the four characteristic wavelengths 685, 689, 781, 783 nm. The nitrogen content of jujube leaves' near infrared spectroscopy model was established according to these four wavelengths. Prediction correlation coefficient of model is 0.9175, and predicted root mean square error is 0.063. The near infrared spectroscopy model of jujube leaves' nitrogen content was built based on seven wavelengths selected by simulated annealing algorithm. The correlation coefficient of model is 0.9301 and root mean square error is 0.052. Therefore, near infrared spectroscopy combined with the characteristics of the spectral selecting methods can effectively improve the accuracy of the model, making the model more practical. But the characteristics spectrum selecting methods are not universal. The model based on single wavelength variable selection is more sensitive, and it is more applicable to uniform samples. While the anti-interference of the model built based on wavelength interval selection is relatively stronger, and it is more suitable for heterogeneous samples. Therefore, the feature selection can be better used based on the combination of the state and the model. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:11
Main heading:Least squares approximations
Controlled terms:Algorithms - Errors - Forecasting - Forestry - Gallium - Genetic algorithms - Infrared devices - Mean square error - Models - Near infrared spectroscopy - Nitrogen - Reflection - Simulated annealing - Spectrometers - Spectrum analysis
Uncontrolled terms:Correlation coefficient - Interval partial least squares - Interval partial least-squares (iPLS) - Partial least square (PLS) - PLS - SAA - Simulated annealing algorithms - Spectra datum
Classification code:537.1 Heat Treatment Processes - 549.3 Nonferrous Metals and Alloys excluding Alkali and Alkaline Earth Metals - 741.3 Optical Devices and Systems - 804 Chemical Products Generally - 921.6 Numerical Methods - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.025
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 29>
Accession number:20154901636935
Title:Design and experiment of moving along ridge control system for tobacco picking machine
Authors:Liu, Shuangxi (1, 2); Wang, Jinxing (1, 2); Mou, Huawei (1); Fan, Lianxiang (1); Fu, Shenghui (1); Zhu, Changwen (1)
Author affiliation:(1) College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an, China; (2) Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments, Shandong Agricultural University, Tai'an, China
Corresponding author:Wang, Jinxing(jinxing@163.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:83-87
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:For the realization of the tobacco leaf picking machine in unmanned, a ridge moving control system of tobacco picking machine is designed, this system adopts photoelectric ranging sensor detecting the distance of both sides of the wheels to the tobacco ridge. In this paper, the sensitivity, smoothness and phase delay of a first order lag low-pass filter are analyzed, filtering control parameters are corrected. This paper expects to achieve a better fitting effect, and eliminate weeds, blocks and other invalid sharp signals accurately, and finally, adjust the motor speed of power system according to the optimized data, realize the ridge moving of tobacco picking machine. The simulation results show that after dynamic correction, both in terms of sensitivity and smoothness, the effect of the first order lag low-pass filtering is very good, and the phase lag has been significantly modified. The field test shows that, after filtering the data standard deviation is 3.8, it can get accurate ridge information. When deviation angle less than 30 °, angle correction is better, the success rate was 95%, and lateral shift correction success rate is 89%, When deviation angle is less than 20 °, the success rate was 95%, and lateral shift correction success rate is 98.3%. The moving control system can accurately control the tobacco picking machine moving along the ridge, providing moving control method for unmanned tobacco picking machine. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:10
Main heading:Information filtering
Controlled terms:Control - Control systems - Design - Harvesters - Infrared detectors - Low pass filters - Machinery - Mechanization - Signal filtering and prediction - Tobacco
Uncontrolled terms:Control parameters - Dynamic correction - Harvesting machines - Infra-red sensor - Low-pass filtering - Picking machines - Ridge - Wave filtering
Classification code:601 Mechanical Design - 703.2 Electric Filters - 716.1 Information Theory and Signal Processing - 731.1 Control Systems - 821.1 Agricultural Machinery and Equipment - 821.4 Agricultural Products - 903.1 Information Sources and Analysis - 944.7 Radiation Measuring Instruments
DOI:10.11975/j.issn.1002-6819.2015.z2.012
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 30>
Accession number:20154901636964
Title:Optimization of NIR quantitative analysis model for wheat seed germination rate
Authors:Wu, Jingzhu (1); Dong, Wenfei (1); Liu, Qian (1); Chen, Yan (1); Sun, Lijuan (2)
Author affiliation:(1) School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China; (2) Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:272-276
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:The backward interval partial least squares (BiPLS) and the synergy interval partial least squares (SiPLS) were applied to select the characteristic spectral regions representing the germination rate of 84 wheat seeds and build the near infrared (NIR) quantitative analysis model of wheat seed germination rate. Results from comparison showed that the models built by two variable selection methods had better predictive ability than full-spectral partial least squares (PLS) model. The optimal model was obtained by SiPLS with the calibration and prediction correlation coefficient(R) at 0.902 and 0.967 respectively, and ratio of performance to standard deviate (RPD) at 3.75. Based on this, the physical chemistry significance of characteristic spectral regions was analyzed. The characteristic spectral of wheat seed germination rate contained characteristic peaks of water, protein, starch, fiber, which were the internal nutrients of the seed that influence the germination ability, thus explaining the mechanism of measuring wheat seed germination rate using NIR to a certain extent. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:18
Main heading:Seed
Controlled terms:Chemical analysis - Cultivation - Infrared devices - Least squares approximations - Models - Near infrared spectroscopy - Optimization - Physical chemistry - Principal component analysis
Uncontrolled terms:Characteristic spectral regions - Characteristic spectrum - Germination rates - Interval partial least squares - Partial least squares models - Quantitative analysis model - Synergy interval partial least squares - Wheat
Classification code:801.4 Physical Chemistry - 821.3 Agricultural Methods - 821.4 Agricultural Products - 921.5 Optimization Techniques - 921.6 Numerical Methods - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.041
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 31>
Accession number:20154901636933
Title:Design and test of ultrasonic obstacle avoidance system for mountain orchard monorail conveyor
Authors:Jia, Chuang (1); Li, Jianian (1, 2); Hong, Tiansheng (2, 3); Li, Zhen (2, 3); Jie, Zhaoyue (3); Zhou, Songbin (4)
Author affiliation:(1) Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, China; (2) Division of Citrus Machinery, China Agriculture Research System, Guangzhou, China; (3) College of Engineering, South China Agricultural University, Guangzhou, China; (4) GuangDong Institute of Automation, Guangzhou, China
Corresponding author:Li, Jianian(ljn825@163.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:69-74
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:In order to avoid the mountain orchard monorail conveyor having a crash with the moving objects across the monorail or motionless obstacles on the monorail in front of the conveyor which was running on the monorail, and improving the conveyor's operation safety and stability, an ultrasonic obstacle avoidance system for the monorail conveyor had been developed. The system was composed of microprocessor, ultrasonic probe and its transmit-receive circuit, power module, wireless communication module, keys and so on. A series of test had been taken for testing the conveyor's operation performance. In the tests, regular objects and irregular small stones were simulated as obstacles on the monorail, tree branches and potted citrus with many lateral branches had been taken as non-obstacles beside the monorail. In each test, the ultrasonic probe was installed in three different positions on the front of the monorail conveyor respectively, and the conveyor's running speed was fixed at fast (4.32 km/h), medium (2.88 km/h) and slow (1.44 km/h) three types of different speeds. Test results showed, the obstacle-avoidance system could identify the obstacles on the monorail and the non-obstacles beside the monorail, which could promote operation safety and stability of the monorail conveyor when it run on the monorail unmanned. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:14
Main heading:Conveyors
Controlled terms:Collision avoidance - Design - Farms - Identification (control systems) - Landforms - Monorail conveyors - Nanocomposites - Orchards - Probes - System stability - Ultrasonics - Wireless telecommunication systems
Uncontrolled terms:Design and tests - Different speed - Mechanination - Obstacle-avoidance system - Operation performance - Operation safety - Ultrasonic probe - Wireless communications
Classification code:481.1 Geology - 692.1 Conveyors - 731.1 Control Systems - 753.1 Ultrasonic Waves - 761 Nanotechnology - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.3 Agricultural Methods - 914.1 Accidents and Accident Prevention - 933 Solid State Physics - 961 Systems Science
DOI:10.11975/j.issn.1002-6819.2015.z2.010
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 32>
Accession number:20154901636931
Title:Droplet coverage response surface models and influencing factors of air-assisted electrostatic spray
Authors:Zhou, Liangfu (1, 2); Zhang, Ling (1); Ding, Weimin (2); Xue, Xinyu (1); Sun, Zhu (1)
Author affiliation:(1) Nanjing Research Institute for Agricultural Mechanization Ministry of Agriculture, Nanjing, China; (2) College of Engineering, Nanjing Agricultural University, Nanjing, China
Corresponding author:Zhang, Ling(nnnzl1965@126.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:52-59
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:It is difficult to transport pesticide droplet into tree canopy and deposit onto opposite of foliage. In order to solve these problems, air-assisted and electrostatic spraying was proposed. Air-assisted electrostatic spraying is a new pesticide application technology combined air-assisted spraying and electrostatic spraying technology. The charged droplets transport and deposit under theair drag force and electrostatic force, which improved the charged droplet penetration ability and deposition within the crop canopy. The influencing factors of air-assisted electrostatic spray include induced voltage, spray distance, air velocity and spray pressure. To clarify the factors influence on spray coverage. Induced voltage was set 0, 3 and 6 kV; Spray distance was 0.5, 1, 1.5 m; Axial fan frequency was 30, 40, 50 Hz; Spray pressure was 0.3, 0.4, 0.5 MPa. CCD (central composite design) and RSM (response surface methodology) were employed to analysis the four factors at three levels. 29 group tests were conducted, which include 24 group analytical factors, 5 group error estimations. Design Expert Version 8 software (Stat-Ease Inc., USA) was used for experimental design, data processing and statistics. Response include positive coverage, opposite coverage and the ratio of opposite and positive coverage. The three response surface models were established by quadratic regression, model determination coefficient was 95.14%, 93.68%, 93.95% respectively. Aiming at the ratio of opposite and positive coverage and opposite coverage maximum, positive coverage less than or equal to 50%. Response surface model was adopted to optimize the working parameters at the constraint condition of induced voltage X<inf>1</inf>=6 kV, fan frequency X<inf>2</inf>∈ [30, 50] Hz, spray distance X<inf>3</inf>∈ [0.5, 1.5] m and spray pressure X<inf>4</inf>∈ [0.3, 1.5] MPa. At the same time, the models were validated at this condition, and the positive predictive coverage was 50%, the negative coverage rate was 3.69%, the ratio of opposite and positive coverage was 7.52%. The relative error was 4%, 9.25%, 16.26%, respectively. The results showed the ratio of opposite and positive coverage's influence factors ranked from large to small wasthe induced voltage, fan frequency, spray distance and spray pressure. Opposite coverage's influencing factors ranked from large to small wasinduced voltage, spray distance, spray pressure and fan frequency. Positive coverage's influencing factors ranked from large to small was spray distance, spray pressure, fan frequency and induced voltage. The charged droplets were mainly affected by the air drag force and electrostatic force. The interaction among fan frequency, induction voltage, spray distance had significant effects on the response surface model. Reasonable working parameters can improve negative droplet coverage. The study can provide the basis data for design of air-assisted electrostatic spraying machine and operating parameters choose. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:20
Main heading:Electrostatic force
Controlled terms:Agricultural machinery - Air - Data handling - Deposits - Design - Drag - Drops - Electrostatic devices - Electrostatics - Fans - Models - Pesticides - Spraying - Surface properties - Suspensions (fluids)
Uncontrolled terms:Central composite designs - Coverage - Electrostatic spray - Factors - Response surface - Response surface methodology - Response surface modeling - Response surface models
Classification code:618.3 Blowers and Fans - 701.1 Electricity: Basic Concepts and Phenomena - 723.2 Data Processing and Image Processing - 803 Chemical Agents and Basic Industrial Chemicals - 804 Chemical Products Generally - 821.1 Agricultural Machinery and Equipment - 951 Materials Science
DOI:10.11975/j.issn.1002-6819.2015.z2.008
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 33>
Accession number:20154901636963
Title:Experiment of parameter optimization for intelligent far-infrared-vacuum dryer of turnip
Authors:Wang, Xin (1); Che, Gang (1); Wan, Lin (1); Qing, Yiren (1)
Author affiliation:(1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing, China
Corresponding author:Che, Gang(chegang180@126.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:267-271
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:To optimize the technology of on-line detection technology and automatic control system, the fresh turnip harvested in this year as test material, by analyzing the results of single factor experiment, heating temperature (60-80), vacuum in the warehouse (3 000-4000 Pa), and material thickness (4-10 mm) were used as main test factors. Taking dehydration rate, rehydration rate, and VC mass ratio of dried product as test indexes, and using the quadratic general rotary unitized design approach, the influence and change law of far-infrared vacuum drying on drying turnip was studied. Analysis of interaction effects between the factors and the regression model, the regression equation was established, and the objective function optimization, the integrated balance method were adopted to identify the optimal conditions: the vacuum was 3000 Pa, the heating temperature was 70, and the material thickness was 7 mm. Under these conditions, the dehydration rate of dried turnip products was 25.23 g/(m<sup>2</sup>·h), VC mass ratio was 2.05 mg/g, and the optimal value of rehydration ratio was 3.95. Finally, the turnip dry products were observed by SESM and the results were analyzed. The result showed that the cell wall breakage rate, cell deformation rate, and low profile shrinkage rate of turnip dried by infrared vacuum were lower; the surface smoothness preservation rate was higher; the cell tissue preservation rate was more than 80%, and the cell breakage and distortion was less. And the microscopic morphology of cell was kept well. Under these conditions, the original organization and structure of the sample were truly reflected, the better drying effect was achieved, the sensory quality of dried products was guaranteed. This study provide a technical basis for the intelligent far-infrared vacuum drying technology applying for fast drying of high moisture materials and a reference for improving the quality of the far-infrared vacuum drying of turnip. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:22
Main heading:Infrared drying
Controlled terms:Automation - Cells - Cytology - Dehydration - Drying - Experiments - Optimization - Product design - Regression analysis - Vacuum - Vacuum applications
Uncontrolled terms:Far infrared - Heating temperatures - Microscopic morphology - Objective functions - Parameter optimization - Regression equation - Single-factor experiments - Tissue preservation
Classification code:461.2 Biological Materials and Tissue Engineering - 633 Vacuum Technology - 633.1 Vacuum Applications - 731 Automatic Control Principles and Applications - 802.2 Chemical Reactions - 901.3 Engineering Research - 913.1 Production Engineering - 921.5 Optimization Techniques - 922.2 Mathematical Statistics
DOI:10.11975/j.issn.1002-6819.2015.z2.040
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 34>
Accession number:20154901636957
Title:Comparison of photosynthesis prediction methods with BPNN and PLSR in different growth stages of tomato
Authors:Li, Ting (1); Ji, Yuhan (2); Zhang, Man (1); Sha, Sha (2); Li, Minzan (1)
Author affiliation:(1) Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing, China; (2) Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture, China Agricultural University, Beijing, China
Corresponding author:Zhang, Man(cauzm@cau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:222-229
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:To add the appropriate amount of CO<inf>2</inf>based on plant requirements, single-leaf photosynthesis was studied under interaction influence of other environmental factors. Two types of methods were employed to predict the photosynthetic rate in different growth stage of tomato, namely, a back-propagation neural network (BPNN) and partial least squares regression (PLSR). A series of experiments on predicting the photosynthetic rate of tomato plants was performed in a greenhouse based on environmental information. A wireless sensor network system was developed to monitor environmental information automatically, including CO<inf>2</inf>concentration, photosynthetically active radiation, air temperature, and relative humidity. An LI-6400XT photosynthetic rate instrument was used to obtain the net photosynthetic rate of a functional leaf. Before building the prediction models, input data should be preprocessed to improve accuracy. The preprocessing procedure comprised two steps. First, singular points were deleted by analyzing the variable box plot. The data were then normalized. After comprehensively considering CO<inf>2</inf>concentration in the greenhouse, the prediction models of tomato single-leaf photosynthesis were established via PLSR and BPNN during different growing stages. The prediction results were compared by evaluation indices. The results showed that the correlation coefficients between the simulated and observed data sets were 0.94, 0.96, and 0.97 in the three growing stages using BPNN, and 0.74, 0.88, and 0.85 using PLSR. The results proved that the BPNN model exhibited higher prediction accuracy than the PLSR model and could be used to control CO<inf>2</inf>air fertilizer precisely in a greenhouse. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:24
Main heading:Least squares approximations
Controlled terms:Atmospheric composition - Backpropagation - Carbon dioxide - Forecasting - Fruits - Greenhouses - Neural networks - Photosynthesis - Torsional stress - Wireless sensor networks
Uncontrolled terms:Back propagation neural networks - Correlation coefficient - Environmental information - Net photosynthetic rate - Partial least squares regression - Partial least squares regressions (PLSR) - Photosynthetically active radiation - Tomato
Classification code:716.3 Radio Systems and Equipment - 723.4 Artificial Intelligence - 741.1 Light/Optics - 801 Chemistry - 804.2 Inorganic Compounds - 821.4 Agricultural Products - 821.6 Farm Buildings and Other Structures - 921.6 Numerical Methods
DOI:10.11975/j.issn.1002-6819.2015.z2.034
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 35>
Accession number:20154901636925
Title:Remote control unmanned aerial vehicle test system based on Labview
Authors:Zhang, Kun (1); Zhang, Tiemin (1); Liao, Yiyong (1); Zhuang, Xiaolin (1); Li, Shenghua (1); Lan, Yubin (1)
Author affiliation:(1) College of Engineering, South China Agricultural University, Guangzhou, China
Corresponding author:Zhang, Tiemin(tm-zhang@163.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:11-16
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:A remote control UAV test system was designed for assessing control level of the flight operators. During the test, the flight operator should control the UAV to take-off, flying along the scheduled flight path, spot hover and fixed-point landing. The system used IG-500N to acquire real-time UAV flight status and sent it to the ground computer by wireless data transmission module. Flight status information was consist of triaxial attitude angle, triaxial accelerometer, triaxial angular, triaxial speed, GPS latitude and longitude, GPS altitude, temperature and barometric pressure. The system software based on labview extracted the data corresponding to every test project. Then it calculated time, position deviation and attitude stability based on these data. So as to obtain control level indicators that would be imported into the test report. Experiment results showed that the system can be used to provide a reference for assessing operator level of the flight and performance improvement of autonomous UAV. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:25
Main heading:Flight dynamics
Controlled terms:Aircraft control - Atmospheric pressure - Computer programming languages - Design - Remote control - Remote sensing - Software testing - Testing - Unmanned aerial vehicles (UAV)
Uncontrolled terms:Barometric pressure - Control level - Flight status - LabViEW - Status informations - Test systems - Triaxial accelerometer - Wireless data transmission
Classification code:443.1 Atmospheric Properties - 652 Aircraft and Avionics - 652.1 Aircraft, General - 723.1.1 Computer Programming Languages - 723.5 Computer Applications - 731.1 Control Systems
DOI:10.11975/j.issn.1002-6819.2015.z2.002
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 36>
Accession number:20154901636954
Title:Application and innovation strategy of agricultural Internet of Things
Authors:Li, Jin (1); Guo, Meirong (1); Gao, Liangliang (1)
Author affiliation:(1) Beijing Research Center for Information Technology in Agriculture, Beijing, China
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:200-209
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Agriculture is one of the most important application fields of the IOT (internet of things)technology, and it is also the most urgent, difficult and integrated features of the Internet of things technology. In this paper, the progress of technology development, system standard and industry application in the field of agricultural Internet of things is introduced in the United States, Japan, Holland and other developed countries. The American farm became the leader of the agricultural application of networking technology, basically formed the whole network of precision agriculture, and the variable spraying fertilizer, weed automatic identification technology, large-scale sprinkling machine precision control technology have begun to scale, industrialization application. Japan is characterized by portable intelligent machines, and develops an appropriate scale farms precision agriculture. Holland built a greenhouse agriculture efficient production system. Korea and Israel through the construction of agricultural science and technology innovation service system, greatly promote the development of agricultural technology, promotion and application. In the field of agricultural IOT technology, the application of sensor, RFID, information transmission, information processing technology and the existing problems are analyzed. Sensor is the basis of agricultural IOT, the development of new type for low power plant information and soil nutrient information sensor is an urgent need to solve the problem. In the modern agriculture, a large number of sensor nodes form the different function of monitoring network, through a variety of sensors collecting information, which can help farmers to find problems in time, and accurately capture the position of the problem. As a result, agriculture gradually become the new mode from human centered to mechanical steering center for information technology and software mode of production of agricultural production mode. RFID technology, which has important applications in the field of agricultural products circulation, intelligent farming, and fine crop production, has the problem of safety mechanism, industrial standard and application cost. In information transmission, wireless sensor network technology is widely used, and its existing storage algorithm, different source data fusion is the problem that is needed to be resolved at this stage. In information transmission, wireless sensor network technology is widely used, and its existing storage algorithm and different source data fusion is the problem that is needed to be resolved at this stage. Information processing can use cloud computing technology and intelligent information processing technology, but also has the problem of security and standards. At the same time, the internet of things in the agricultural resources and environment monitoring, breeding, Daejeon precise job, facilities horticulture intelligent control, livestock and poultry breeding, quality and safety traceability and other key aspects of the application of agricultural fields were analyzed. Monitoring method basically has two kinds, one kind is through the low level sensor and wireless sensor network (WSN), another kind is with 3G technology. Commercialized breeding large data information platform construction and breeding equipment research and development will be focus on the future development. Using information technology to the field production process is the key link of crops cultivation management, will enhance the management level of agricultural production. The development of Internet technology has realized the planting of intelligent monitoring, especially in the most widely used in the production of horticultural facilities. Agricultural IOT technology in aquaculture, pigs, dairy cattle breeding industry such as the use of relatively mature. It proposed that the key of the development of the future technology of agricultural IOT is the information perception and recognition technology, the self-organizing network deployment and information transmission technology, the information integration and cloud computing technology as well as the four aspects of safety supervision and service quality assurance technology. In the field of information awareness and identification technology, we should focus on the development of crop life and environmental information, aquaculture environment, livestock and poultry breeding environment, agricultural resources and ecological environment information sensing technology and equipment. In the self-organization network deployment and information transmission technology field, we should focus on the development of agriculture IOT full dimensions of space deployment and topological structure technology and low consume self-organizing network technology. In the field of information fusion and cloud computing, we should focus on the development of the agricultural IOT massive multi-source information fusion technology and cloud computing and cloud services for specific areas of agricultural technology. In the next five to ten years, we should further strengthen the research and development of agricultural IOT technology standards and core technologies, and focus on the key technologies such as agricultural awareness data standard, agricultural special sensors, agricultural information processing and other key technologies, and strengthen the integration of agricultural technology integration and product testing. At the same time, we should further optimize and improve the policy environment, and give preferential tax relief to guide social networking companies and capital into the agricultural sector. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:38
Main heading:Internet of things
Controlled terms:Accident prevention - Agricultural machinery - Agricultural products - Agriculture - Aquaculture - Automation - Cloud computing - Construction equipment - Crops - Cultivation - Data fusion - Digital storage - Distributed computer systems - Environmental technology - Information fusion - Information science - Information use - Innovation - Integration - Integration testing - Internet - Natural resources - Problem solving - Quality assurance - Quality control - Sensor data fusion - Sensor nodes - Stages - Standardization - Standards - Technology - Weed control - Wireless sensor networks
Uncontrolled terms:Agricultural science and technology innovations - Cloud computing technologies - Information processing technology - Intelligent information processing - Internet of things technologies - Multi-source information fusion - Service quality assurances - Strategy
Classification code:402.2 Public Buildings - 405.1 Construction Equipment - 454 Environmental Engineering - 722 Computer Systems and Equipment - 723 Computer Software, Data Handling and Applications - 731 Automatic Control Principles and Applications - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 902.2 Codes and Standards - 903.1 Information Sources and Analysis - 903.3 Information Retrieval and Use - 912 Industrial Engineering and Management - 913.3 Quality Assurance and Control - 914.1 Accidents and Accident Prevention - 921.2 Calculus
DOI:10.11975/j.issn.1002-6819.2015.z2.031
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 37>
Accession number:20154901636937
Title:Design and experiment of automatic steering control system based on Dongfanghong tractor
Authors:Li, Yongjian (1); Zhao, Zuoxi (2); Huang, Peikui (2); Guan, Wei (1)
Author affiliation:(1) Guangdong AIB Polytechnic College, Guangzhou, China; (2) College of Engineering, South China Agricultural University, Guangzhou, China
Corresponding author:Zhao, Zuoxi(zhao_zuoxi@hotmail.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:93-99
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:A Dongfanghong-X804 tractor was used as a platform and an automatic steering controller based on double closed-loop control was developed to realize autonomous navigation of agricultural machinery. The make-up of the whole steering system and the working principle are presented: using an angle sensor KMA199 to measure steering angle and a gyroscope integrated in ADIS16300 to measure angular rate. In order to realize servo control of steering system, electro-hydraulic valves, shift solenoid valve and relief valve were used as actuators for automatic steering. Then the mathematical model of steering system was derived and the hardware circuit realization was described with CAN network design. According to characteristic of the system nonlinear, the transfer function between the proportional valve input current and steering angular can be seen as a second-order inertial part and a latency part, and a double closed-loop control algorithm for steering system was designed, using Matlab System Identification Toolbox to estimate transfer function parameters. Finally, tests were conducted to examine the steering system, including a calibration test for ADIS 16300, which indicated the high accuracy of ADIS16300 angular velocity integral values, with the average error of 0.53#x000b0;; and a test of the steering control system was carried out to verify the performance of double closed-loop control algorithm, which showed that the steering control system solved the control overshoot well and the average error is 0.4°, with 1.3 s tracking time; the average angular rate tracking error is 1.25#x000b0;/s, with 0.2 s tracking time. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:19
Main heading:Closed loop control systems
Controlled terms:Agricultural machinery - Agriculture - Algorithms - Calibration - Control systems - Errors - Hydraulic actuators - Hydraulic machinery - Models - Navigation - Pressure relief valves - Solenoid valves - Solenoids - Tractors (agricultural) - Tractors (truck) - Transfer functions
Uncontrolled terms:Automatic steering control - Autonomous navigation - Double closed-loop control - Electro-hydraulic valves - Proportional valves - Shift solenoid valves - Steering control - Steering control system
Classification code:601.2 Machine Components - 619 Pipes, Tanks and Accessories; Plant Engineering Generally - 632.2 Hydraulic Equipment and Machinery - 663.1 Heavy Duty Motor Vehicles - 704.1 Electric Components - 731.1 Control Systems - 732.1 Control Equipment - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.1 Agricultural Machinery and Equipment - 921 Mathematics
DOI:10.11975/j.issn.1002-6819.2015.z2.014
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 38>
Accession number:20154901636924
Title:Development of wind tunnel test technologies in agricultural aviation spraying
Authors:Liu, Hongshan (1, 5); Lan, Yubin (2, 5); Xue, Xinyu (3); Zhou, Zhiyan (2, 4, 5); Luo, Xiwen (2, 4, 5)
Author affiliation:(1) College of Electronic Engineering, South China Agriculture University, Guangzhou, China; (2) College of Engineering, South China Agriculture University, Guangzhou, China; (3) Nanjing Research Institute of Agricultural Mechanization, Ministry of Agriculture, Nanjing, China; (4) Key Laboratory of Key Technology for South Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou, China; (5) Engineering Research Center for Agricultural Aviation Application, Guangzhou, China
Corresponding author:Luo, Xiwen(xwluo@scau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:1-10
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:The low speed wind tunnel is more and more popular in civil applications nowadays. The aviation spray is one of the key technologies in agricultural aviation application while wind tunnels can create the right environment for aviation spray simulation tests. The authors collect and analyzes the typical low speed wind tunnel applications in aviation spray drift, droplet size distribution, spray prediction model building and droplet size spectra classification. The authors also put forward the suggestions of preferential domestic wind tunnel tests research not only for general agricultural aviation spray but also for the application of spray prediction model, spray with unmanned aerial vehicle and aviation electrostatic spray. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:29
Main heading:Wind tunnels
Controlled terms:Agriculture - Drops - Forecasting - Spraying - Testing - Wind stress
Uncontrolled terms:Aviation application - Civil applications - Droplet size distributions - Droplet size spectrum - Droplet spectrums - Electrostatic spray - Low-speed wind tunnel - Prediction model
Classification code:443.1 Atmospheric Properties - 651.2 Wind Tunnels - 821 Agricultural Equipment and Methods; Vegetation and Pest Control
DOI:10.11975/j.issn.1002-6819.2015.z2.001
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 39>
Accession number:20154901636934
Title:Optimization and experiment of blade parameter for pear branches cutting device
Authors:Ding, Suming (1); Xue, Xinyu (1); Cai, Chen (1); Cui, Longfei (1); Chen, Chen (1)
Author affiliation:(1) Nanjing Research Institute of Agricultural Mechanization, Ministry of Agriculture, Nanjing, China
Corresponding author:Xue, Xinyu(735178312@qq.com)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:75-82
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:The planting area of pear orchard and fruit production in China is at the top in the world, and the pear industry has significant economic position in China. According to scientific plant method, it is sometimes necessary to prune the tree to allow accumulated nutrients in the winter. In recent years, artificial pruning and mechanical pruning are widely used in fruit production, but the late development of orchard cutting device and the relatively low level of mechanization have increased the field management workload. Pear branch belongs to the anisotropy compound material, and it has high-hardness, high-intention. So the selection of cutting technological parameters is very important, and the parementers influenced cutting quality and efficiency. In order to further study the cutting technique, the cutting testbed was designed. The testbed was consisted of a accurate micro-controlled electronic universal testing machine, a self-made cutting device and a vernier caliper. The experimental material was pear branches where "cuiguan" pear trees were grown, the typical diameter of which is 20 mm. The cutting speed, rotating blade wedge angle and rotating blade rake angle were taken as the influencing factors, and the peak cutting force and power consumption were used as responsive variables in the experimental study. The experiment was designed as a quadratic regression orthogonal of three factors and three levels, and by using the regression analysis method and response surface analysis of the software of Design-Expert 8.0.6, the mathematical model concerning the three factors impact on the cutting performance was set up and analyzed, and the experimental verification of the mathematical model was also conducted. The results showed that trial factors had great effects, the peak cutting force and power consumption can be fit with quadratic regression polynomial, and P values of the two equations reached to 0.0001 and 0.0009 respectively, and the values showed that models is much better. The coefficients of determination (R<sup>2</sup>) were 0.9914 and 0.9812 respectively, and the values showed that 98% of the response values can be explained by models. The significant effects of rotating blade wedge angle, cutting speed and rotating blade rake angle reducing the peak cutting force were in a decreasing order. The significant effects of cutting speed, rotating blade rake angle and rotating blade wedge angle on reducing power consumption were in a decreasing order. The best model of the integrated cutting parameters were as follows: when the cutting speed was 150 mm/min, the rotating blade wedge angle was 30° and rotating blade rake angle was 3.5°, the peak cutting force and power consumption by the models respectively were 2.92 kN and 21.27 J. The model validation tests had been repeated for 3 times on cutting testbed by using the optimization results in the laboratory, the values of max cutting force and power consumption respectively were 2.99 kN and 20.54 J. Both of the relative errors between the experimental and predicted values of max cutting force and power consumption were less than 5%, which indicated a reasonable choice of optimization conditions. These results that the optimization of cutting speed, rotating blade wedge angle, rotating blade rake angle will result in peak cutting force and power consumption saving, and it can provide reference for further study of blade optimization of pear cutting device. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:31
Main heading:Cutting
Controlled terms:Electric power utilization - Farms - Forestry - Fruits - Machinery - Mechanization - Models - Optimization - Orchards - Regression analysis - Rotating machinery - Speed - Surface analysis - Surface properties - Testbeds - Turbomachine blades - Verification
Uncontrolled terms:Experimental verification - Pear branch - Power consumption savings - Regression analysis methods - Response surface analysis - Response surface methodology - Technological parameters - Universal testing machines
Classification code:601 Mechanical Design - 601.1 Mechanical Devices - 706.1 Electric Power Systems - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723.5 Computer Applications - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 921.5 Optimization Techniques - 922.2 Mathematical Statistics - 951 Materials Science
DOI:10.11975/j.issn.1002-6819.2015.z2.011
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 40>
Accession number:20154901636930
Title:Design and test of unmanned aerial vehicle video transfer system based on WiFi
Authors:Wang, Jian (1, 2); Wang, Linhui (1, 2); Yue, Xuejun (1, 2); Liu, Yongxin (3); Quan, Dongping (1, 2); Qu, Xiangming (1, 2); Gan, Haiming (1, 2); Wang, Ju (1, 2)
Author affiliation:(1) College of Electronic Engineering, South China Agricultural University, Guangzhou, China; (2) Engineering Research Center for Agricultural Aviation Application, Guangzhou, China; (3) School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China
Corresponding author:Yue, Xuejun(yuexuejun@scau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:47-51
Language:Chinese
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:Aiming at the phenomenon that traditional unmanned aerial vehicle (UAV) video transmission disturbance-resistant ability is limited, not multiple monitors use. A wireless UAV video transfer system based on WiFi network was designed. The system hardware including the framework of the system hardware, embedded development platform Tiny210 which based on the CPU of S5P210 and related peripherals. On the software side, the main note is divided into the Linux embedded operating system programming, and host computer video surveillance software design based on the C#. Using Tiny210 for video data through camera, and then the system gets the data format conversion and compression through the Mjpg-Streamer solution, and computer video monitoring was achieved by listening to the corresponding network port through the wireless network close to the web server. The test results show that the video transfer process, when the resolution is 76800, the actual frame rate as the theory frame rate increases, after the theory frame rate reach from 10 to 25 fps, the frame rate unchanged and far less than the theoretical. This process increases the system bandwidth, when reached 40 fps peak after falling. When the resolution is greater than 307200, the actual frame rate does not vary with the theoretical frame rate increases, but remain near constant. Then the camera closes to the operating limit, the system bandwidth keeping from 2 to 3 M every secord, PC screen display is clear and smooth, fully meeting the requirements of video transmission. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:19
Main heading:Computer operating systems
Controlled terms:Bandwidth - Cameras - Computer hardware - Computer programming - Computer systems programming - Data handling - Design - Flight dynamics - Hardware - Image coding - Image communication systems - Image processing - Networks (circuits) - Security systems - Software design - Unmanned aerial vehicles (UAV) - Vehicle transmissions - Video signal processing - Wi-Fi
Uncontrolled terms:Data format conversion - Embedded development - Embedded operating systems - Multiple monitors - Video monitoring - Video surveillance software - Video transmissions - Wireless monitoring
Classification code:602.2 Mechanical Transmissions - 605 Small Tools and Hardware - 652.1 Aircraft, General - 703.1 Electric Networks - 716.1 Information Theory and Signal Processing - 716.4 Television Systems and Equipment - 722 Computer Systems and Equipment - 723 Computer Software, Data Handling and Applications - 742.2 Photographic Equipment - 914.1 Accidents and Accident Prevention
DOI:10.11975/j.issn.1002-6819.2015.z2.007
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 41>
Accession number:20154901636939
Title:Rice flooding disaster diagnosis analysis and growth monitoring based on HJ-CCD data
Authors:Wang, Huifang (1, 2); Huo, Zhiguo (1); Zhou, Guangsheng (1); Wu, Li (1); Feng, Haikuan (2); Huang, Dapeng (3)
Author affiliation:(1) Chinese Academy of Meteorological Sciences, Beijing, China; (2) Beijing Research Center for Information Technology in Agriculture, Beijing, China; (3) National Climate Centre, Beijing, China
Corresponding author:Huo, Zhiguo(huozhigg@cams.cma.gov.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:107-111
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:It has great significance to study quick monitoring of rice flood disaster and applying timely remedial measures in the disaster area. LAI is a very important physiological parameter in crop growth characterization index, which can reflect the crop growing information objectively. The existing methods of flood monitoring using remote sensing technology rarely consider the damage and the post disaster growth of rice. The HJ-CCD data take advantage of high temporal resolution and high spatial resolution remote sensing image, which can be used for gathering rice growing information during the critical period. The growth situation after rice flood disaster in Anhui Province was monitored using 3 screens HJ-CCD data as the data source on 16th July, 19th August, 26th August, 2009, respectively. The semi-empirical function model based on Beer-Lambert laws was constructed for this inversion LAI. And LAI were acquired in each stage after flood disaster, the trend of growth diagnosis dynamic change was analyzed and assessed by rice flood disaster evaluation indicator. At the same time, the 40 field investigate data were used to verify the model and the R<sup>2</sup>=0.4251, RMSE=2.053. The results show that LAI can be well evaluated the degree of rice flood disaster growth based on HJ-CCD data, and it is effective for monitoring and diagnosing rice flood disaster. The results provide a theoretical basis for rice flood disaster research, post disaster rehabilitation and recovery, and provide a theoretical basis for the implementation of targeted remedial measures at the same time. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:15
Main heading:Disasters
Controlled terms:Crops - Cultivation - Floods - Image reconstruction - Models - Physiological models - Remote sensing - Vegetation
Uncontrolled terms:Beer Lambert law - Flood disaster - HJ-CCD data - LAI - Rice
Classification code:821.3 Agricultural Methods - 821.4 Agricultural Products
DOI:10.11975/j.issn.1002-6819.2015.z2.016
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
<RECORD 42>
Accession number:20154901636928
Title:Test facility and evaluation method for farm vehicle combination switch
Authors:Chen, Fuen (1); Chen, Longhan (2); Xie, Xin (2); Lan, Yubin (3)
Author affiliation:(1) School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China; (2) Department of Mechanical Engineering, Oakland University, Rochester, United States; (3) College of Engineering, South China Agricultural University, Guangzhou, China
Corresponding author:Lan, Yubin(ylan@scau.edu.cn)
Source title:Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
Abbreviated source title:Nongye Gongcheng Xuebao
Volume:31
Issue date:November 1, 2015
Publication year:2015
Pages:31-37
Language:English
ISSN:10026819
CODEN:NGOXEO
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Engineering
Abstract:The farm vehicle combined switch (VCS) being multifunctional and irregular, the evaluations for them have been difficult problems, which has gotten VCS manufacturers and their users into troubles. So some of their users have still been evaluated VCS with the hand touch-feeling method. In order to make the evaluation more scientific, an integrated test facility, which have three kinds of bionic robot hands (twist, push and draw-out type), and its evaluation mothed were developed for VCS. Meanwhile, some tests, which consisted of subjective tests (experts hand touch-feeling) and objective machine tests, were made to examine this technique. The aim of the tests was to grade the same kind of VCS products among three different manufacturers. By comprehensive analysis, a conclusion can be obtained that there is a significant correlation between the subjective expert method and objective machine one in the VCS evaluation. With regard to machine one, the contributions of the parameters such as the shifting force, inflection force and effective shifting time to the evaluation of VCS are major. This machine evaluation technique can be used to describe and grade the quality of VCS products, and ultimately examine their material, process and assembly, which can be a useful method for authorities who make decisions during production, sourcing/buying as well as design of VCS. © 2015, Chinese Society of Agricultural Engineering. All right reserved.
Number of references:22
Main heading:Quality control
Controlled terms:Automobile manufacture - Equipment - Manufacture - Product design - Robotic arms - Robots - Switches - Test facilities - Vehicles
Uncontrolled terms:Bionic robot - Comprehensive analysis - Farm vehicles - Handle - ITS evaluation - Subjective evaluations - Vehicle combinations
Classification code:662.1 Automobiles - 731.5 Robotics - 901 Engineering Profession - 913 Production Planning and Control; Manufacturing
DOI:10.11975/j.issn.1002-6819.2015.z2.005
Database:Compendex
Compilation and indexing terms, Copyright 2015 Elsevier Inc.Compendex references:YES
期刊信息
- 主管单位 中国科学技术协会
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