基于事例数据库的苹果病害诊断系统设计与实现

The design and realization of the system for apple disease diagnosis based on case-base

采用事例的方式保存苹果病害诊断与防治的经验,设计1个包含事例检索、防治方法优化、事例库更新等功能的专家系统。在事例检索阶段,先使用模板检索策略缩小检索范围,再使用ID3算法建立决策树执行事例匹配。根据新事例能否提升专家系统推理性能制定事例库更新策略。

To preserve the experience of apple disease diagnosis and prevention by eases, an expert system was designed including the functions of case retrieval, control optimization method and case library update. To retrieve a case, the template retrieval strategy was applied to reduce the search range, and ID3 algorithm was used to build a decision tree which helped to execute case matching. Besides, The case database update strategy was established based on whether the new case was able to promote the reasoning performance of the expert system.