Weed Detection - Computer Vision
تفاصيل العمل
This project focuses on automating weed detection in agricultural fields using computer vision. The system leverages YOLO (You Only Look Once) for real-time object detection for post-processing and annotation management to accurately identify and locate weeds among crops. By providing real-time insights, this tool helps farmers optimize herbicide usage, reduce manual labor, and improve crop yield. Built with state-of-the-art deep learning techniques, the project offers a scalable and efficient solution for precision agriculture.
مهارات العمل
بطاقة العمل
طلب عمل مماثل
