基于智能图像识别的番茄典型病害远程诊断系统研究  

Research on Remote Diagnosis System of Tomato Typical Diseases Based on Intelligent Image Recognition

作　　者：杨健[1] 邹阳[2] 

机构地区：[1]江苏农林职业技术学院信息工程系 [2]江苏农林职业技术学院风景园林学院,江苏句容212400

出　　处：《软件导刊》2017年第9期199-201,共3页Software Guide

摘　　要：为提高小麦生产调控管理水平,设计实现了基于智能图像处理的番茄典型病害远程诊断系统。采用浏览器/服务器(Browser/Server)模式,通过远程监控收集番茄病变信息,融合番茄生理生态指标进行分析诊断。将专家识别番茄病害的知识与数字图像处理、神经网络等技术相结合,对番茄生长过程中产生的病害构建相应特征数据库,进行快速诊断,用户可通过计算机与智能终端获取番茄生长资源。研究表明,该系统有助于提高番茄生产效率,减少资源浪费与农业污染。In order to improve the control and management level of wheat production, this paper designs and implements a remote diagnosis system for typical tomato diseases based on intelligent image processing. The system uses browser / server mode, through remote monitoring tomato disease information collection, integration of Tomato Physiological and ecological indicators for analysis and diagnosis. The expert identification of tomato diseases and knowledge of digital image processing and neural net- work technology to combine the growth of tomato produced during disease to construct the corresponding characteristic data- base, rapid diagnosis, users can access the growth of tomato resources through computer and intelligent terminal. Research shows that the system can help to improve the production efficiency, reduce the waste of resources and agricultural pollution.

关 键 词：智能图像处理 神经网络 番茄病害数据库 远程诊断系统 

分 类 号：TP317.4[自动化与计算机技术—计算机软件与理论]