基于本体推理的水稻虫害诊断系统研究  

Study on Ontology-based Reasoning System for Rice Pest Diagnosis

作　　者：林潇[1] 李绍稳[1] 张友华[1] 辜丽川[1] 朱诚[1] 倪冬平[1] 

机构地区：[1]安徽农业大学信息与计算机学院农业信息学安徽省重点实验室,合肥230036

出　　处：《农业网络信息》2011年第1期17-20,共4页Agriculture Network Information

基　　金："十一五"国家科技支撑计划重点项目课题(编号2009BADC4B02;2009BADA6B02);国家自然科学基金(编号30800663;30971691)

摘　　要：针对江西省水稻虫害的特点和特征,采用Protégé建立了专家知识本体库,基于本体推理方法实现了虫害诊断推理,并运用相似度算法解决了知识不确定性的诊断问题。开发的水稻虫害诊断系统集诊断、防治和查询多种功能于一体,对南方红壤丘陵区水稻虫害的诊断和防治具有很好的应用价值。On the basis of the features and characters of rice pest in Jiangxi province, an expert knowledge ontology base was developed by using Protege. Based on a method of ontology-based reasoning, pest diagnosis reasoning was realized, and similarity algorithm was applied to solve the diagnosis problem of uncertain knowledge. The rice pest diagnosis system was integrated with some functions, such as diagnosis, control and data query. The system showed a good application value for the diagnosis and control of rice pest in the south red soil hilly area.

关 键 词：本体推理 水稻虫害 诊断系统 

分 类 号：S126[农业科学—农业基础科学]