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基于CBR的蔬菜病虫害诊治专家系统的研究
引用本文:刘鹤,李东明,陈桂芬.基于CBR的蔬菜病虫害诊治专家系统的研究[J].安徽农业科学,2010,38(27):15380-15381,15413.
作者姓名:刘鹤  李东明  陈桂芬
作者单位:吉林农业大学信息技术学院,吉林长春,130118
基金项目:国家863项目,国家星火计划,2010年度吉林省大学生"挑战杯"创业基金 
摘    要:将CBR技术引入到蔬菜病虫害诊断中,解决蔬菜病虫害诊断专家系统在知识获取上存在的瓶颈问题。针对农业专家在对病虫害诊断时的思维过程和CBR基本原理的一致性,构建了CBR的蔬菜病虫害诊治专家系统,本文从CBR的一般过程、案例的表示、检索和匹配,以及蔬菜的病虫害知识的组织方法。为蔬菜病虫害诊断问题开辟了一条新的途径,将其应用到蔬菜病虫害的防治工作中,不但能使广大菜农独立完成病虫害的防治工作,而且,由于CBR具有能够对未知案例进行推理得出新结论的功能,也能够辅助农业专家对复杂问题进行诊断和防治。对生产实践具有重要意义。

关 键 词:CBR  蔬菜病虫害  专家系统  最近相邻法

Research on Vegetable Diagnosis and Treatment Expert System Based on CBR
Institution:LIU He et al(College of Information and Technology Science,Jilin Agricultural University,Jilin,Changchun 130118)
Abstract:CBR technology apply on the diagnosis of vegetable pests,diseases and insect pests of vegetables diagnosis expert system to solve the knowledge acquisition bottleneck that exists.Pests and diseases for agricultural experts in the diagnosis of the thinking process and the consistency of the basic principles of CBR,CBR constructed expert system Diseases and Pests of vegetables,this paper,the general process of CBR,case representation,retrieval and matching,and vegetables for pest knowledge organizational methods.Pest and disease diagnosis for the vegetable has opened up a new way,be applied to the prevention and control of vegetable pests,not only can the general vegetable pest control work independently,and,because of the unknown cases of CBR has to draw some new conclusions reasoning function,and can assist agricultural experts to diagnose and control of complex issues.Production is of great significance.
Keywords:CBR
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