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 di fficult problem in agricultural industry. In this paper an adaptive approach for classification and grading of apple fruit diseases is proposed and experimentally validated. The i mage processing based approach is composed of the following main steps:The f rist step is to read the input image from database. Edge detection 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. Depending o n the affected area grading has been done namely Healthy, Partially affected, moderately affected, and fully affected. We have considered three types of diseases namely apple scab,apple blotch and apple rot. Practical implementation of classification and g rading of apple fruit has been done using MATLAB