Harnessing multimodal data fusion to advance accurate identification of fish feeding intensity

Accurately identifying the fish feeding intensity plays a vital role in aquaculture. While traditional methods are limited by single modality (e.g., water quality, vision, audio), they often lack comprehensive representation, leading to low identification accuracy. In contrast, the multimodal fusion...

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Veröffentlicht in:	Biosystems engineering Jg. 246; S. 135 - 149
Hauptverfasser:	Du, Zhuangzhuang, Cui, Meng, Xu, Xianbao, Bai, Zhuangzhuang, Han, Jie, Li, Wanchao, Yang, Jianan, Liu, Xiaohang, Wang, Cong, Li, Daoliang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.10.2024
Schlagworte:	acoustics Aquaculture data collection Data integration fish Image sonar On-demand feeding system vision water quality Image sonar Data integration Aquaculture On-demand feeding system
ISSN:	1537-5110
Online-Zugang:	Volltext
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