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《Transactions of the Chinese Society of Agricultural Engineering》 2006-10
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Knowledge model-based decision support system for maize management

Guo Yinqiao~(1,2),Guo Xinyu~2,Li Cundong~(1※),Zhao Chuande~3,Zhao Chunjiang~2(1.College of Agronomy,Agriculture University of Hebei,Baoding 071001,China;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100089,China;3.College of Information Engineering,Capital Normal University,Beijing 100037, China)  
Based on the relationship between crops and circumstances,by using system method and technique of mathematical modeling,a dynamic knowledge model system for maize management,which can be used in different places and conditions,was developed.With the incorporation of the soft component characteristics, a component and digital knowledge model-based decision support system for maize management was established on the platform of Visual C++.This system realized six major functions——target yield decision,design of pre-sowing technical plan,prediction of regulation indices,real time management control,expert knowledge reference and system administration.Case studies on the target yield knowledge model with data sets of different eco-sites,yield levels of last three years,fertilizer and water management levels and so on were conducted,and the results indicate that this model has wide applicability and good independance,which provides a scientific knowledge system and broad decision-making tool for maize management.
【Fund】: 国家自然科学基金重点项目(30030090);; 国家863项目(2003AA209030);; 国家粮食丰产科技工程河北省课题(2004BA520A07)资助
【CateGory Index】: S513;S126
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