Extraction of the Rice Leaf Disease Image Based on BP Neural Network

Abstract

Rice leaf diseases have occurred all over the world,including china.They have had a significant impact on rice quality and yield.Now,the control method rely mainly on artificial means.In this study,BP neural network classifiers were designed for classifying the healthy and diseased parts of rice leaves.This paper select rice brown spot as study object,the training and testing samples of the images are gathered from the northern part of Ningxia Hui Autonomous Region.The result shows that the scheme is feasible to identify rice brown spot using image analysis and BP neural network classifier. Keywords-rice brown spot;BP neuralnetwork;color feature;feature extraction