Apple Diseases Detection and Classification using Image Processing

This book includes the utilization of image processing procedures is of outstanding implication for the analysis of agro based applications. In this approach three normal infections of apple fruit are considered i.e. Apple scab, apple rot and apple blotch. In this approach some state of the art color and texture features are extracted from the test image. The color and texture features are fused together and random forest classifier is used for diseases classification and if the fruit is infected by any of the one disease then the infected part is segmented using k-means clustering technique. Then these affected areas are graded by calculating the percentage of affected area. The accuracy of the diseases classification will improve by feature level fusion and classification by Random forest classifier.