Leaf Disease Diagnosis Model of Rice Plant Using Image Processing and Deep Cnn Architecture

Abstract

Agricultural production occupies a very important place in a developing country like India.
The livelihood of many people of the country depends on agriculture related occupation. Near
about 70 percent of India's people maintain their livelihood from agriculture [1]. Rice is one of
the important grains among agricultural crops. Rice is eaten in many countries of the world.
Most of the people in India like rice as their favorite food [2]. Rice and its related food products
contribute a lot to India's economy. In India, paddy is cultivated over a large area from east to
west and north to south. There are many factors that can reduce the yield of rice, in which the
soil factor, biological factor, environmental factor, and seed selection are important factors. If
any one of these factors is not balanced then it leads to plant disease. Rice diseases are very
dangerous and harmful, it reduces the production by about ten to fifteen percent every year in
India [3].