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What is Lempuyang Chili Ripeness Detection with YOLO about?

This study proposes an automated method for detecting the ripeness of lempuyang chilies using the YOLO algorithm and camera image processing. The system was tested under various lighting conditions and achieved a mean average precision (mAP) above 80%, with real-time detection capabilities exceeding 15 frames per second. The goal is to improve sorting efficiency, reduce post-harvest losses, and support sustainable chili-drying practices.

Author

h43220876

Language

EN