IJAIEM

K.Rasagna

Abstract

Agriculturally important potatoes are vulnerable to blight and other illnesses. To solve this problem, we suggest classifying photos of potato plant leaves as healthy or sick using a Convolutional Neural Network (CNN). In order to train the CNN to be more generalizable, a larger and more varied dataset is used. An easy-to-use online software that incorporates the best model allows users to submit photos and get instantaneous predictions. With this method, potato crops may be inspected for diseases at an earlier stage, which will allow for faster response times and less crop loss.