Recognitionof Diseases in Paddy using Deep Learning

Paddy is a very important crop in Asian agriculture. Rice is a staple food in Asian countries because most people rely on it for their food. Paddy will be commonly affected by many diseases like Brown spot, Leaf blast, Bacterial blight Leaf smut, etc. Because there are few professionals available, identifying paddy leaf diseases takes a long time. Even though experts are accessible in some sectors, the naked sight might lead to inappropriate acts. So, by using a CNN algorithm this research study attempts to detect which disease is effective and also suggest the proper treatment to cure that disease so that it can help to take appropriate actions within the time. For the data present in the paddy leaf disease, features are extracted and classified by using ResNet 50 and VGG16 model. By comparing both models which give high accuracy, the model will be selected for detecting the paddy leaf disease.