This project develops an intelligent agricultural monitoring system using a Raspberry Pi and YOLOv11 neural network to detect apples and classify their health status in real-time. The system uses computer vision to identify four different apple conditions: Healthy, Blotch, Rot, and Scab diseases. Through live camera feed processing, the system provides immediate visual feedback with confidence scoring, making it invaluable for precision agriculture, quality control, and automated crop assessment.

Documentation

Model: https://drive.google.com/drive/folders/1keXLe3uGXCVXIQdnvgn-yO1GQqsZs93M?usp=drive_link