A Survey on Disease Detection of a potato Leaf Using CNN
Sindhuja Bangari, P Rachana, Nihit Gupta, Pappu Sah Sudi, Kamlesh Kumar Baniya
Abstract
India is an agricultural nation and crops yield rate is a serious concern over the nation. Lesser the production, higher the price of such crops and higher the hunger problem for those who can’t even afford potato so in order to enhance the yield rate of crops and minimize the disease infection in plant deep learning model come up with a technology which will makes farmer work easier for some extent They can rely on Deep neural Networks which is sub field of AI technology to detect the plant having disease and avoid doing it manually and give a proper treatment in the bud stage before it is too late. This paper reviews various papers and found out that Convolution Neural Networks (CNN) performs better in finding out the leaf disease also found that the CNN contribute the highest possible accuracy for disease detection.