A lightweight YOLO-WRCS model for peanut pod detection in seed-preserving peanut shelling robots

Low-damage seed-preserving peanut shelling robots require real-time recognition of peanut pod quality and orientation to guide sorting and shelling while reducing seed damage.We proposed YOLO-WRCS, a lightweight YOLOv12n-based detector integrating RDWConv, SimAM, CARAFE, and Wise IoU. A dataset of 4...

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Главные авторы:	Yukun Pang, Guangxin Zhao, Liqi Qiu, Wei Huo, Zecheng Zheng, Bo Cao, Ying Zhao
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2026-07-01
Серии:	Frontiers in Plant Science
Предметы:	deep learning low-damage seed-preserving peanut shelling robot peanut peanut seed retention YOLOv12
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fpls.2026.1892758/full
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