Farmers are currently using manpower to separate insects from crops. However, when there is a large agricultural field, this demands a lot of manpower as well as a lot of time. This research explores a novel method for developing a plant disease recognition model based on leaf image classification and deep convolutional networks. In the realm of image classification, the latest generation of convolutional neural networks (CNNs) has produced excellent results. The novel training method and methodology used make system implementation in practice quick and painless. From healthy leaves, the proposed model can detect nine different types of plant illnesses. The entire process of establishing this disease recognition model is detailed throughout the study, beginning with the collection of photos in order to develop a database that is evaluated by agricultural experts.
₹10000 (INR)
NON IEEE -2022