基于Web的黄瓜病害诊断系统设计

Disease Diagnosis System Design for Cucumber Based on Web

摘要:

设计了基于Web的黄瓜病害诊断系统，用户在输入病害症状信息的过程中不必进行数字的选择和输入，只需在相似症状上打勾，以实现专家系统源信息需求最简化的目标。该系统以产生式规则作为知识表示方法，采用数值诊断与RBR规则推理相结合的推理机制，应用病害可信度来判断诊断结果准确性，引入症状示病数以保证诊断结果的唯一性，提高了单纯使用数值诊断法诊断的效率。

Abstract:

Aimed at the difficulty of disease diagnosis caused by the weakness of information receptivity of local farmer in our country, a diagnosis system for cucumber disease was designed based on website. Users just need to check similar symptoms, but not to face to numbers in diagnosing process, that means to simplify the general information that expert systems need. This system used production as the knowledge representation method, and adopted quantitative diagnosis combining with rulebased reasoning (RBR) as reasoning mechanism, the results accuracy was judged by its credibility and uniqueness by numbers of symptoms related with diseases. The efficiency of quantitative diagnosis was improved by RBR.