农业宏观决策支持系统的应用研究

Applying Study of Macrodecision-Making Supporting System in Agriculture

把人工智能技术和地理信息系统有机地结合起来,在地理信息系统和专家系统结合方面作了较为深入的研究。本研究克服以往农业专家系统偏重于局部的、微观尺度上的各单一种、养植专家系统的不足,首次从宏观尺度上在大农业信息化方面做了有益的探索。系统采用常识推理模型和基于知识部件库专家系统结构,在地理信息系统平台(M apInfo)上,用面向对象技术完成了农业自然条件分区系统,给出了J省农业自然条件的分区及隶属程度和以玉米为例的农作物品种配套模型的研究。

This study integrated AI （Artificial Intelligence） technology with GIS （Geographic Information System）. Do deep research on Intelligent GIS. In the same time, it do good research on great agriculture macroscopical information realization. The system use general knowledge reasoning model and knowledge part warehouse expert system structure. Based on GIS platform （MapInfo）, using oriented-object technology, it developed agriculture nature condition sub-area system, given the sub-area agriculture nature condition and sub-area＇s subjection degree of Jilin province. In the same time a model of crop seeds matching up to sub-area of corn in J province was given.