Agri-YOLO: An Improved YOLOv8 Algorithm for Farmland Obstacles Detection

This study proposes an improved object detection model, Agri-YOLO, based on the YOLOv8n baseline model, addressing the issues of insufficient detection accuracy and high model deployment costs for various types and scales of obstacles in agricultural fields. Three core optimization strategies are im...

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Autors principals:	Xiang Gan, Mengjie Xing, Shukun Cao, Wenhao Zhang, Yu Wang, Li Zeng, Lei Xu
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2026-01-01
Col·lecció:	IEEE Access
Matèries:	Farmland obstacles YOLOv8 object detection model improvement
Accés en línia:	https://ieeexplore.ieee.org/document/11321291/
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