Research of Pest Diagnosis System Development Tools Based on Binary Tree

被引：0
|
作者：
Qiu, Yun [1 ]
Zhou, Guomin [1 ]
机构：
[1] Agr Informat Inst CAAS, Beijing 100081, Peoples R China
来源：
COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IV, PT 2 | 2011年 / 345卷
关键词：
pest diagnosis; binary tree; CLIPS system; knowledge system; knowledge expression;
D O I：
暂无
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
A visual pests diagnosis system development tools based on binary tree (abbreviation: knowledge system development tools) was developed by techniques of computer visualization, binary tree, XML database and reasoning. This tool combined tree knowledge expression with rule-based reasoning machine, proposed the knowledge acquisition and the reasoning technique based on binary tree, and solved the problem of knowledge acquisition used for pests diagnosis with an expert system development tools CLIPS. The reasoning machine with stateless continuous reasoning technology can improve the efficiency of knowledge acquisition and system reasoning. In this article, we introduced the components and working principles of the pest diagnosis system development tools, and described its usage with a simple example.
引用
收藏
页码：300 / 308
页数：9
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