Automated Detection of Plant Diseases Using CNN

Abstract—Diseased images can severely reduce agricultural productivity and harm a nation's food supply. Typically, farmers and specialists closely monitor the diseases. It can be labor-intensive, costly, and ineffective. Detecting plant diseases can be achieved by affected leaves. The approach for detecting plant diseases by building a classification model that analyzes leaf images. To identify plant diseases, we utilize image processing alongside a (CNN). CNNs are a class of models capable of takes features from images, make an ideal for recognizing disease patterns in plant leaves. Keywords—CNN, image processing, training set, test set