摘要
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做了较为深入的研究。克服了以往农业专家系统偏重于局部的、微观尺度上的各单一种、养植专家系统的缺点,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(MapInfo)上,用面向对象技术完成了农业自然条件分区系统,给出了吉林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 Artificial Intelligence(AI) technology with Geographic Information System(GIS).Wide research on Intelligent GIS was conducted. At the same time, research on the realization of the great agricultural macroscopical information was also performed. In the system, General Knowledge reasoning model and knowledge part warehouse Expert System structure were used. Based on GIS platform (MapInfo), using Oriented-Object technology, the study developed a sub-area dividing system for natural conditions of agriculture, provided the sub-area natural conditions of agriculture and sub-area′s subjection degree of Jilin province. An the same time, a model of crop seeds matching up to sub-area of corn in Jilin province was designed.
出处
《吉林农业大学学报》
CAS
CSCD
北大核心
2004年第1期111-115,共5页
Journal of Jilin Agricultural University
基金
吉林省科技厅星火计划项目(2001EA660024)
