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丁维龙,熊范纶,梁荣华.基于虚拟生长模型的温室番茄栽培管理专家系统[J].农业工程学报,2008,24(1):193-197.DOI:
基于虚拟生长模型的温室番茄栽培管理专家系统
投稿时间:2007-05-06  修订日期:2007-12-10
中文关键词:  作物栽培管理  专家系统  虚拟植物生长模型  番茄
基金项目:本课题得到国家863项目(2007AA10Z229);浙江省自然科学基金项目(Y105314)资助
作者单位
丁维龙 (1975-)安徽省萧县人博士副教授主要研究方向为智能系统、虚拟现实。杭州 浙江工业大学信息工程学院 310014。E-mail: wlding@zjut.edu.cn 
熊范纶 中国科学院合肥智能机械研究所合肥 230031 
梁荣华 浙江工业大学信息工程学院杭州 310014 
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中文摘要:为改进传统农业专家系统的决策性能,动态表达其决策结果,提出并实现了基于虚拟生长模型的温室番茄栽培管理专家系统。介绍了系统的总体框架与功能模块,分析了系统实现的若干关键技术,如开发工具、知识表示方法、知识库的构建、虚拟番茄生长模型等。系统综合运用推理、预测、可视化与解释等机制帮助用户设计栽培管理方案,可视化模拟和预测温室番茄的生长发育进程。基于虚拟生长模型的温室番茄栽培管理专家系统初步实现了积温模型、形态发生模型与专家系统知识模型的综合集成,更适合温室番茄栽培管理的实际需要。试验表明该系统具有较好的应用前景。
Ding Weilong,Xiong Fanlun,Liang Ronghua.Expert system for tomato planting management in greenhouse based on virtual growth model[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2008,24(1):193-197.DOI:
Expert system for tomato planting management in greenhouse based on virtual growth model
Author NameAffiliation
Ding Weilong College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032, China 
Xiong Fanlun Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China 
Liang Ronghua College of Information Engineering, Zhejiang University of Technology, Hangzhou 310032, China 
Key words:crop culture management  expert system  virtual plant growth model  tomato
Abstract:For the sake of improving decision-making performance of agricultural expert system and dynamically describing the results of reference, an expert system for greenhouse tomato planting based on virtual plant growth model was built. The architecture and the functional modules of system were introduced at first, and then some key techniques, such as software tool for developing expert system, knowledge representation, construction of knowledge library, and building the virtual tomato growth model were presented in detail. The developed expert system for tomato planting management in greenhouse synthetically utilized reasoning, prediction, visualization, and interpretation, etc, to design planting strategies, visually simulate and predict the process of tomato growth. The integration of morphogenetic model, knowledge model, and model of accumulated temperature was primarily realized in the developed expert system, thus made it meet the practical demand of tomato planting better. Experiments showed that the developed expert system possessed a better future of applications.
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