Real-Time Mushroom Detection and Maturity Classification Using YOLO-Tiny on Raspberry Pi Platform

Real-Time Mushroom Detection and Maturity Classification Using YOLO-Tiny on Raspberry Pi Platform is an intelligent agricultural monitoring system developed to automate mushroom identification and maturity assessment. The system utilizes Raspberry Pi as the main controller and a USB camera to capture real-time images of mushrooms. A YOLO-Tiny deep learning model is trained using mushroom datasets to detect mushrooms and classify their maturity stages such as immature, mature, and harvest-ready. The classification results are displayed on an LCD screen for easy monitoring by farmers and cultivation managers. Python is used for image processing, model training, and real-time inference. The proposed system provides a low-cost, efficient, and accurate solution for mushroom cultivation by assisting farmers in determining the optimal harvesting time and improving production management.