Wheat disease detection using image processing

The most important factor in reduction of quality and quantity of crop is due to plant disease. Identifying plant disease is a key to prevent agricultural losses. The aim of this paper is to develop a software solution which automatically detect and classify plant disease. It includes four steps, first step image acquisition, second step is image preprocessing, third step is image segmentation and fourth step is feature extraction which consider color, shape and size. For classification we used here Neural Network based classifier.