Identification of Wheat Leaf Diseases Based on SVM Method

In order to identify wheat blade diseases accurately and provide scientific basis for wheat diseases diagnosis,an identification method of wheat blade disease based on SVM was presented.Three wheat blade diseases,such as Powdery mildew,Strip rust disease and Blade rust disease,were recognized accurately via this method.First,image de-noising and spot segmentation were achieved by using median filter method and K-means clustering algorithm.Then,two kinds of disease spot features were extracted,including shape features and texture features.Finally,disease blades were classified and identified using SVM algorithm.Experiment results showed that the presented method which took advantage of the disease spot features could identify wheat blade diseases efficiently,and the comprehensive identification rate of shape features based method reached 99.33%,which showed that it was very effective and practicable for identifying wheat blade diseases by using SVM algorithm.The presented method also provides reference for intelligent identification of crop diseases in the future research.