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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Vydané v:	Biosystems engineering Ročník 246; s. 135 - 149
Hlavní autori:	Du, Zhuangzhuang, Cui, Meng, Xu, Xianbao, Bai, Zhuangzhuang, Han, Jie, Li, Wanchao, Yang, Jianan, Liu, Xiaohang, Wang, Cong, Li, Daoliang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2024
Predmet:	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
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