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Foods 15 00544 V2 by Duyên Hương's is a document available to read on EtoBox.

This article presents an enhanced YOLOv12 framework for the fine-grained detection and sorting of fresh tea leaves, addressing challenges posed by machine-harvested leaves. The proposed model integrates three innovative modules to improve detection accuracy and robustness, achieving high precision and recall rates in premium tea recognition. Experimental results demonstrate the effectiveness of this approach in supporting intelligent and efficient tea harvesting and sorting operations.

Author
Duyên Hương's
Language
EN