Plant Leaf Detection and Disease Recognition using Deep Learning

This project presents a plant leaf disease detection system using deep learning with Raspberry Pi as the main controller. A web camera captures leaf images in real time, and a CNN model analyzes them to detect and classify plant diseases based on visual features like spots, color changes, and texture. The system identifies whether the leaf is healthy or infected and provides the disease category. By using edge computing on Raspberry Pi, the system ensures fast processing with low dependency on the cloud. It offers a low-cost and efficient solution for early plant disease detection in agriculture.

Keywords: Raspberry Pi, CNN, Plant Disease Detection, Deep Learning, Agriculture.