GAB-YOLO: a lightweight deep learning model for real-time detection of abnormal behaviors in juvenile greater amberjack fish

With the growing global population and economic development, the demand for sashimi has increased, presenting both new opportunities and challenges for aquaculture. As a key species for sashimi, Greater Amberjack faces significant potential in aquaculture but is also vulnerable to temperature fluctu...

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Principais autores:	Mingxin Liu, Chun Zhang, Cong Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-05-01
coleção:	Frontiers in Marine Science
Assuntos:	deep learning abnormal behavior detection greater amberjack aquaculture YOLOv8 real-time monitoring
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmars.2025.1574580/full
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