基于神经网络的水稻三化螟识别系统的研究  

The research of yellow stem borer identification system based on neural network

作　　者：王剑[1] 周国民[1] 

机构地区：[1]中国农业科学院农业信息研究所,北京100081

出　　处：《农业网络信息》2006年第2期39-41,44,共4页Agriculture Network Information

基　　金：国家863计划项目(2002AA243041)

摘　　要：本文给出了一种基于图像处理和神经网络技术进行水稻三化螟识别的方法,即利用图像处理技术提取特征,利用MATLAB神经网络包进行识别。文中给出了系统的总体设计和实现方案,研究结果表明,该系统获得了理想的检测效果。这一思路为农田害虫自动识别提供了一种新方法。This paper provides a new method of identifying yellow stem borer based on technologies of digital image processing and Neural Network. The technology of image processing is made use of extracting features of some images. The packages of MATLAB neutral network are made use of identifying insect pests. In this paper, not only an overall system design but also the solution scenario have been provided. The results show that this system＇performance can make an ideal effect on discerning insect pests. A new method of automatically identifying insect pests can be obtained by exerting this idea provided by this paper.

关 键 词：图像处理 神经网络 害虫识别 

分 类 号：S126[农业科学—农业基础科学]