Sericulture is an important domestic industry. In India, it is one of the eco-friendly industries. India is the only country where all five recognized commercial silks are made, namely mulberry, tropical tasar, oak tasar, eri and muga. Sericulture is labor intensive, providing jobs in India for over 8 million people, and serving Indians as a tremendous source of revenue. Silkworm is sericultural foundation. Commercial silk is developed through the production of different types of silkworms, of which BOMBYX MORI, originally from Asia, is the most widely and economically used, Mulberry is significant sole nourishment for mulberry silkworm. It is also used for medicinal benefits like, treating diabetes. These mulberry plants include a high danger of yield disappointment and are over the highest expensive for production, so should be addressed well indeed. We will present an overview on various types of mulberry leaf diseases and different classification techniques in machine learning that are used for identifying diseases in different leaves and how to mange these diseases.

Keywords : Plant Disease, Image Preprocessing, Disease Classification, Support Vector Method, KNN