ANN-Based Early Plant Disease Detection for Precision Crop Management in India

Abstract

Agriculture is a very important part of our human society. In India, many people think of it as the backbone of the economy because it creates a lot of jobs. It not only protects food, but it also helps the economy stay strong. Food and the economy are very tightly related in some ways; thus, it is really important to keep farming going. But farming is not perfect. Like different industries have different issues same as agricultural field also have the issues related to the crops. One of the main issues in agriculture is keeping crops and plants healthy. Fungi, bacteria, viruses, nematodes, pests, and even severe weather can all make crops plants sick. Finding and treating diseases in agriculture is still a difficult and time-consuming task. With help of image processing techniques farmers can detect plant disease easily. For early detection and management researchers uses different techniques. Here in this research we have used some machine learning techniques like MobileNetV3, DenseNet201, VGG19 and ANN. We got an accuracy of 98% with DenseNet201.