Leaf Disease Detection using Image Processing and Deep Learning

feasibility and practicality of using CNNs on a Raspberry Pi for on-site plant disease detection, providing farmers with an accessible and efficient tool to manage crop health effectively.

A CNN model for detecting leaf diseases.

PotatoTech is an Android application designed to classify potato leaf diseases. Using advanced machine learning models, the app accurately identifies whether a potato leaf is healthy or diseased, specifically detecting Early Blight and Late Blight.

Plant Disease is necessary for every farmer so we are created Plant disease detection using Deep learning. In which we are using convolutional Neural Network for classifying Leaf images into 39 Different Categories. The Convolutional Neural Code build in Pytorch Framework. For Training we are using Plant village dataset.

GUI based LeafDeseaseDetection using python with keras || tensorflow || Pyqt5

Plant Disease Detection using MATLAB