基于本体的玉米病害知识库的构建与集成实现

Maize Disease Diagnosis Model Based on Ontology and Multi_Agent

由于农业领域的特殊性,知识获取和知识表示一直是农业专家系统的瓶颈问题。本体为玉米病害发生过程中发病时期、症状特征等知识提供了明确的形式化规格说明的知识表示;适合玉米病害发生的不确定性、动态性和依赖性等特点。通过实验表明,该模型能准确、高效地诊断玉米病害,具有较好的应用前景。

The bottleneck problem of the acquisition and representation of maize disease knowledge because of the particularity of the agricultural sector.This paper puts forward a combining ontology with multi-Agent disease diagnosis model of maize.The knowledge representation of ontology provides a clear formal specification for the onset period and symptoms characteristics during maize disease occurs. Aiming at the uncertainty,dynamic and dependency of maize diseases,using the Agent＇s intelligence and the division collaboration of Agent modules solves and improves the learning ability of the ontology.Experiments showed that the model can diagnose maize diseases accurately and efficiently and has a good application prospect.