Rice Leaf Disease Detection Using CNN

Abstract

Abstract: This paper presents a deep learning project that addresses Rice Leaf Disease Detection using convolutional neural Networks (CNN). We develop a novel deep learning model using a computer vision by image processing which detect the diseases like leaf smut, Brown spot, Bacterial leaf blight and with ReLU activation function by using adam optimization algorithm which evaluate its performance on rice leaf disease which shows the confidence.