Automated Disease Detection in Oyster Mushroom Cultivation Using Deep Learning Technique

The main objectives of this project are to automate disease detection in oyster mushroom cultivation using deep learning techniques. It focuses on analyzing visual symptoms from captured images to classify infected and healthy mushrooms accurately.This approach helps farmers take timely action, improving yield quality and reducing crop losses in mushroom farming.