Image Processing System for Fertilization Management of Crops

The paper focuses on providing the information regarding the pesticide and the amount of pesticide to be used for an unhealthy crop. The user who is the farmer clicks a picture of the crop and uploads it to the server via the android application. After uploading the image, the farmer gets a unique ID displayed on his application screen. The uploaded image is then processed using image processing techniques, the features are extracted based on clustering and SVM Classification is applied, accordingly the disease is detected. The disease and the corresponding pesticide and other information about it are updated into server. The farmer using this unique ID can retrieve the complete information about the Disease name, affected area, pesticide name and its optimal amount to be used.