Plant Diesease Detection by Leaf Image Classification using Convolutional Neural Network

This paper presents a comprehensive MATLAB-based deep learning framework for early detection and classification of plant diseases using Convolutional Neural Networks (CNNs). Our approach processes plant leaf images through a systematic pipeline consisting of acquisition, preprocessing, segmentation, and feature extraction. We apply a custom CNN model to classify leaves into various disease categories and a healthy class. The proposed system demonstrates high accuracy and scalability, promoting precision agriculture and sustainable farming through timely diagnosis and intervention.