Cotton Leaf Disease Classification Using Artificial Intelligence for Sustainable Cotton Production

Abstract

As India being the country of villages and farmers, the economic profit of the country, mostly join on the crop production quality and quantity. The production could be improved by leaf disease detection in correct time. Various image processing methods have been developed for leaf disease detection. Basically, the technical improvement allows the task easier and faster at a very early stage. Leaf disease is one of the biggest issues in the agriculture field. The Cotton leaves are affected by the disease named Cercospora, Bacterial blight, blight, and Target spot. For this, we introduce Deep Neural Network based approach with use of artificial intelligence for identifying Cotton leaf diseases automatically with the help of proper device application.