Disease Detection in Pomegranate using Image Processing

Nearly 68 percent of the population in India depends on agriculture. Major portion of Indian economy depends on agriculture. It is reported that every crop that is grown by the farmers is prone to have one or the other diseases in pomegranate. Manually, health monitoring and detection of disease in plants is difficult. Hence, image processing can be a useful and time saving tool for the detection of plant diseases. Diseases are classified based on the color features and edge information. The system provides percentage of infection and also gives precautionary measures. Images captured using mobile camera are pre-processed, followed by segmentation, extraction of features and classification of diseases. Algorithms to detect the diseases will be developed on Open CV platform using Python language. This paper discussed the methods used in the detection of pomegranate diseases.