A Review of Image Processing for Pomegranate Disease Detection

Abstract — In this paper, we suggest a solution for the detection of pomegranate fruit disease (bacterial blight) and also the solution for that disease after detection is proposed. Bacterial Blight need to control at primary stages otherwise it will lead to economic loss. Web-based system used to help non experts in identifying fruit diseases, based on the picture representing the symptoms of the fruit. Farmers can take the photo of the fruit disease and upload it to the system. Then system will show to the farmer is the fruit is infected by the bacterial blight or not. We have added new approach of IntentSearch in this system that is useful when quality of input image is poor. The image processing based proposed system uses two image databases, one for training and other for testing. The images are classified and mapped to their respective disease categories on basis of three feature vectors namely, color, texture and morphology