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Wenguang Zheng

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Open access Aug 2026

A LIGHTWEIGHT TEA BUD DETECTION METHOD FOR ONLINE GRADING OF FRESH TEA LEAVES BASED ON IMPROVED YOLOV11N

To address the limitations of computational resources and the stringent real-time stability requirements in post-harvest online grading of fresh tea leaves, this study proposes a lightweight object detection method oriented toward efficient deployment. The YOLOv11n network was selected as the baseline model. A StarNet...

Wenguang Zheng, Xin-Yong Shi, Rong-Yang Wang · 0 citations

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