摘要
主要介绍了蔬菜病虫害诊断专家系统的开发过程,专家系统主要包括人机界面、知识库、解释机制、控制系统、推理机和神经网络等几大模块。在创建知识库的过程中,使用了数据挖掘技术,推理机推理过程中使用了AOP技术,知识获取中引入了神经网络技术。蔬菜病虫害诊断专家系统的成功开发及投入使用,借助领域专家的知识和经验帮助农民及时诊断病虫害的种类并及时给出防治措施,避免或降低了农民的经济损失,深受农民的好评。
The paper indroduces the development procedure of vegetable diseases and pests diagnose expert system.The system includes people and computer interface、knowledge database、explanation mechanism、control system、reasoning mechanism、neural network and so on.Among creating knowledge database procedure we use data mining technology, among reasoning mechanism we use AOP technology,Among knowledge obtain we use neural network technology.The system successfully develops and uses and helps peasant find the kinds of diseases and pests and give the prevention and cure measures to reduce peasant pecuniary loss.
出处
《农机化研究》
北大核心
2012年第8期171-174,共4页
Journal of Agricultural Mechanization Research
基金
河北省攻关项目(10220306)
关键词
蔬菜病虫害
诊断
专家系统
AOP技术
vegetable diseases and pests
diagnose
expert system
AOP technology
