SmartCrop: Intelligent Crop Recommendation
YOLO11-based instance detection/segmentation for tomato ripeness classification with 90.1% mAP
The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.
Object detection implementation using YOLOv5 for palm tree identification, designed for autonomous fertilizing and pesticide spraying applications.
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