Image Processing Approach for Grading And Identification Of Diseases On Pomegranate Fruit: An Overview

In the present paper introduce an innovative approach to automatically detect and grade the diseases on pomegranate fruit. The diseased pomegranate plant shows specific symptoms colored spots that will occur on the pomegranate fruit. so it is important to monitoring the pomegranate during its growth period and at the time of harvest. The proposed system will be an efficient module that identifies the Bacterial Blight, Cercospora fruit spot, Fruit Rot, Alternaria fruit Spot diseases on pomegranate fruit. In this overview discuss with important issues related to detection of diseases and developing a prime methodology to analyze diseases. Analysis will be done to identify the type of disease and to classify the diseases images into grades depending upon their severity.