A SURVEY PAPER ON CONVOLUTION NEURAL NETWORK IN IDENTIFYING THE DISEASE OF A COTTON PLANT

One of the significant areas of Indian Economy is Agriculture. Work to practically half of the nation’s workforce is given by Indian horticulture segment. As a part of Agriculture, Cotton plays a major role in economic resource of Telangana. Huge number of farmers grows cotton in their fields as the lands fit to that crop. Beside the advantage the major problem affecting the crop are the diseases that are unknown to the farmers at early stages and losing the entire crop when he gets aware on that. As a solution, we can identify the disease in the early stage and rectify before it affects the entire crop. This can be done by looking into images collected from the crop and given it as a test sample to the convolution neural network, where we test the sample with the existing training data and identify the major areas that are affected with the disease. As an improvement we can also identify the disease that is also affected and apply the required pesticides. As a result, 91% of the diseases were correctly identified.