CLASSIFICATION AND GRADING OF APPLE FRUIT DISEASE

In agricultural industry the need to effectively grow a plant and increases its yield is very important task. Diseases in fruit cause a difficult problem in agricultural industry. In this paper an adaptive approach for classification and grading of apple fruit diseases is proposed and experimentally validated. The image processing based approach is composed of the following main steps:The frist step is to read the input image from database.Thresholding technique is used for defect segmentation. In second step some state of art features are extracted from segmented image,and finally images are classified into one of the classes.We have considered three types of diseases namely apple scab,apple blotch and apple rot. Practical implementation of classification and grading of apple fruit has been done using MATLAB.