Description

Agriculture is one of the demanded field of the country like India and also number of research is going on in agriculture among that found still limitation. Identification of plant disease is very difficult in agriculture field. If identification is incorrect then there is a huge loss on the production of crop and economical value of market. In this paper we survey of cotton leaf diseases detection and classification methods. First step to acquire the cotton leaf by using common digital camera. Second step apply the Image processing technique to remove noise and background of the leaf. Next extract the color, shape, and texture features of the leaf. At the end Apply these features to the classifier to classification of the diseases using Machine learning technique.