基于Web的葡萄病害智能决策支持系统的分析与研究

Analysis and Research on Web-based Grape Diseases Intelligent Decision Support System

针对葡萄病害人工诊断以及传统专家系统的不足,采用基于J2EE标准的3层B/S体系结构,分析了基于Web的葡萄病害智能决策支持系统的总体结构以及核心部件的实现方法,研究了面向对象的XML葡萄病害知识表示方法以及模糊人工神经网络用于葡萄病害诊断的方法,讨论了利用MATLAB Web Server实现MATLAB的Web应用的开发过程。实验测试结果表明:诊断结果准确率达90%以上,系统具有较好的实用价值。

In this thesis, realizing the weaknesses of artificial diagnosis and traditional expert systems of grape diseases, we designed a web - based grape diseases intelligent decision support system which has had 3 - layer B/S structure according to J2EE standard. We investigated the method of object - oriented and XML based grape diseases knowledge expression as well as the method of using fuzzy artificial neural network to diagnose grape diseases. Moreover, a development procedure of MATLAB web application using MATLAB Web Server was discussed. Experimental results have indicated that the accuracy of our proposed grape diseases diagnosis system was 90 %. Therefore, the system is applicable for practieal implementation.