Detection of Leaf Disease Using Mask Region Based Convolutional Neural Network

Agriculture plays an essential role for individuals as it is the fundamental requirement for everyone’s life. Most of the time crops are identified with disease due to which there is a loss in agricultural productivity. Also because of lack of knowledge and skills cultivators are finding it difficult in detecting and rectifying the disease of crops. In India every year 17.5% of crops are lost as it gets diseased because of the usage of pests. In recent days the technology has advanced that new device has come up that are much faster and smart enough in recognizing and detecting disease in leaf that is helping the farmers in the process of monitoring the farms which reduces the job of a farmer. Hence, this approach mainly concentrates on detecting disease in the leaf using “Mask R-CNN” a deep learning technique.