Machine Learning Technique for Deteching Leaf Disease

Rice is a major crop that has a major impact on the Indian economy. Indian farmers face many financial problems when rice cultivation suffers from diseases that direct to decline of the mixed economy. The most important economic and scientific challenge in agriculture is the categorization and identification of rice disorders. Detection and monitoring of theses disease is the critical issue. If these diseases are identified at the first stage appropriate action could be taken in order to restrain the economic loss of the farmers. To overcome this, four different rice diseases are acquired from the online datasets. All the images are preprocessed, and the extracted features are given as the input to Random Forest. In India, there are four primary rice plant diseases: leaf blast, bacteria blight, sheath blight, and brown spot.