A Comparative Analysis of CNN Models in Deep Learning for Leaf Disease Detection

Abstract

order to detect the disease in plant a Convolutional Neural Network(CNN) with the help of image processing beside is in use here in our paper. A Convolutional Neural Network is an artificial neural network which is specially designed to deal with image recognition[1] tasks when an image is input. Here the idea is to use CNN models to spot diseases in apple, grape, corn and potato. This idea is to use CNN models to spot diseases in apple, grape, corn, and potato plants. We proposed an algorithm. This paper mainly focused on CNN models CNN, AlexNet,VGG16 in deep learning that will be compared in the study