Plant Leaf Disease Detection Using CNN

In our country, most farmers face the same issue in the field of agriculture. The issues in agriculture are based on the weather, irrigation, moisture of the soil, and humidity. The major issue is plant disease. The diseases may cause harm to the plants in various forms; there are bacterial, fungal, and viral causes of disease. These diseases reduce the yield of crops by up to 50%. We can identify the type of disease that attacked the crop and take remedies to save it using images of disease-affected plants. Several crops are attacked by the disease; such crops include paddy, wheat, tomato, eggplant, hyacinth beans, ladies' finger, maize, etc. The plant diseases are found using the convolution neural network CNN. The accuracy is high when we use the CNN algorithm. The future work of the paper is to increase the accuracy of the algorithm.