基于神经网络的枣树红蜘蛛识别研究

针对目前枣树病虫害防治过程中害虫的自动识别问题,文中以枣树害虫红蜘蛛为研究对象,介绍一种基于BP神经网络技术和图像处理进行枣树虫害识别的方法,即利用图像处理技术,结合枣虫害颜色特征、几何特征实现枣树虫害图像的特征提取。并利用Matlab完成对神经网络的训练和测试,构建图像自动分类器,实现枣树虫害图像的自动识别。同时通过对实际采集到的图像进行验证,识别率结果达到了95.3%,证明了文中所提方法的有效性和鲁棒性。

Research on Recognition of Red Spider Based on Neural Network

This paper introduces a method for recognizing jujube pest based on technologies of BP neural network and digital image processing for the automatic recognition of pests in preventing the jujube pests. Using image processing, this paper accomplishes the feature extraction combining with color characteristics and geometrical characteristics of jujube pest image. Using Matlab, this paper fulfills the training and testing of the neural network, constructs the automatic image classification, and realizes the automatic identification of insect pest images. Experiments on actual images show that proposed method successfully recognizes the most parking lines with a detection rate of 95.3%, which proves its effectiveness and robustness.