Singh, RajeevRohan, J.2019-02-072019-02-072018-08http://krishikosh.egranth.ac.in/handle/1/5810093953India is basically known as agricultural nation where 70% of individuals rely on agribusiness, in this way plants play an influential factor in their life and furthermore assume an inescapable part in the ecological balance of the nation. With regards to plant sickness, there are numerous sorts of ailment existed in world contrasted from area to district. The plant ailments happen every now and again and contrast from each other. These sicknesses can lessen the nature of rural items and caused substantial misfortunes even undermined the sustenance security and for the most part caused irresistible creatures or different other ecological factor. At some point the plant illness taints other piece of plants like leaves or branches and prompts finish collect misfortune and even uphold sustenance shortage. A computerized acknowledgment and characterization framework for these rural items can upgrade its quality by perceiving sickness side effects prior and analyze it. Because of quick advancement in data innovation, it assumes a critical part in preparing, perceiving and characterizing the plant ailments. In this paper we proposed a picture based malady arrangement for mango natural product utilizing GLCM & DWT, FCM and SVM. GLCM and DWT are used for highlight extraction; FCM is utilized for segmenting the images and Support Vector Machine is used for classification.ennullThesis