Review of Plant Disease Detection and Diagnosis Using Deep Learning Model

Abstract

Crop diseases are responsible for the significant economic losses in agricultural industry worldwide. Monitoring the health status of plants is difficult to control the spread of diseases and implement efficient management. There are various types of disease present on leaves such as bacterial, fungal, viral etc. In our project we are using concepts of deep learning. Deep learning provides an opportunity for detectors to recognize crop diseases in a timely and accurate manner, which will not only upgrade the accuracy of plant protection but also expand the scope of computer vision in the field of precision agriculture. Convolutional neural network (CNN) model is developed to perform plant disease detection and diagnosis using healthy and diseased plants leaves, through deep learning methods. It detects the plant disease from the picture of the plant leaf. All farmer has to capture the plant leaf image from app in his mobile. The app send this images to our designed AI system. Our AI system will detect the disease form the image and send back the disease name and diagnosis to user.