基于图像规则与Android手机的棉花病虫害诊断系统  

Image-rule-based Diagnostic Expert System for Cotton Diseases and Pests Based on Mobile Terminal with Android System

作　　者：戴建国 赖军臣[2] 

机构地区：[1]兵团空间信息工程技术研究中心,石河子832003 [2]新疆生产建设兵团第六师农业局,五家渠831300

出　　处：《农业机械学报》2015年第1期35-44,共10页Transactions of the Chinese Society for Agricultural Machinery

基　　金：兵团博士资金专项资助项目(2012BB099)

摘　　要：为解决当前植保专家系统使用难度大以及携带不便的问题,在Android智能手机上开发了基于图像规则的棉花病虫害诊断系统。采用二叉树检索规则构建二叉诊断决策知识树,利用面向对象技术将诊断决策树中的知识节点及其相对应的田间典型图像进行封装,形成图像化知识表达形式;系统提供指认式和推理式2种诊断方式,基于田间病虫害事实图像进行人机交互,实现了推理过程的可视化,具有便携、实用、图文并茂、人机交互友好以及不受网络环境限制等特点,能够实现现场式的专家服务。经应用测试,事实库中包含的病虫害诊断正确率在95%以上。Currently expert system for plant protection has the problem of poor portability and expensiveness, so a cotton diseases and insect pest diagnosis system based on image rules was developed on the Android smartphone. Binary retrieve rules were used to construct decision tree, object-oriented programming was used to encapsulate binary logic classification model, rules and appropriate photographs, consequently, knowledge represented by graphics achieved. The system has two diagnosis methods of image retrieval diagnosis and binary tree retrieval diagnosis with image rules. It featured human- compuier interaction on actual image of typical characteristic facts in the field. The reasoning process was realized by visualization. The system was benefit for the agricultural production in practice with excellent features as portable, practicability, friendly interface, information of picture and data, and unlimited with networks. The diagnosis accuracy was above 95%.

关 键 词：棉花 病虫害 诊断 智能手机 专家系统 图像规则 

分 类 号：S24[农业科学—农业电气化与自动化] S431.7[农业科学—农业工程]