Line-Labelling Enhanced CNNs for Transparent Juvenile Fish Crowd Counting DOI Creative Commons

Dianzhuo Zhou,

Hequn Tan, Yuxiang Li

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100963 - 100963

Published: April 1, 2025

Language: Английский

Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey DOI Open Access
Ming-Shu Cui, Xubo Liu, Haohe Liu

et al.

Reviews in Aquaculture, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

ABSTRACT Digital aquaculture leverages advanced technologies and data‐driven methods, providing substantial benefits over traditional practices. This article presents a comprehensive review of three interconnected digital tasks, namely, fish tracking, counting, behaviour analysis, using novel unified approach. Unlike previous reviews which focused on single modalities or individual we analyse vision‐based (i.e., image‐ video‐based), acoustic‐based, biosensor‐based methods across all tasks. We examine their advantages, limitations, applications, highlighting recent advancements identifying critical cross‐cutting research gaps. The also includes emerging ideas such as applying multitask learning large language models to address various aspects monitoring, an approach not previously explored in literature. identify the major obstacles hindering progress this field, including scarcity datasets lack evaluation standards. To overcome current explore potential multimodal data fusion deep improve accuracy, robustness, efficiency integrated monitoring systems. In addition, provide summary existing available for analysis. holistic perspective offers roadmap future research, emphasizing need standards facilitate meaningful comparisons between promote practical implementations real‐world settings.

Language: Английский

Citations

3
A fish counting model based on pyramid vision transformer with multi-scale feature enhancement DOI Creative Commons

Jiaming Xin,

Yiying Wang, Dashe Li

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103025 - 103025

Published: Jan. 1, 2025

Language: Английский

Citations

1
Ground scaffolding abstract construction concepts for automatic compliance checking based on reasoning segmentation DOI
Xiaochun Luo,

Mingyong Qin,

Zeyu Gao

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126563 - 126563

Published: Jan. 1, 2025

Language: Английский

Citations

0
A new quantitative analysis method for the fish behavior under ammonia nitrogen stress based on pruning strategy DOI
Wenkai Xu, Jiaxuan Yu, Ying Xiao

et al.

Aquaculture, Journal Year: 2025, Volume and Issue: unknown, P. 742192 - 742192

Published: Jan. 1, 2025

Language: Английский

Citations

0
DeepFins: Capturing dynamics in underwater videos for fish detection DOI Creative Commons
Ahsan Jalal, Ahmad Salman, Ajmal Mian

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103013 - 103013

Published: Jan. 1, 2025

Language: Английский

Citations

0
Line-Labelling Enhanced Cnns for Transparent Juvenile Fish Crowd Counting DOI

Dianzhuo Zhou,

Hequn Tan, Yuxiang Li

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Line-Labelling Enhanced CNNs for Transparent Juvenile Fish Crowd Counting DOI Creative Commons

Dianzhuo Zhou,

Hequn Tan, Yuxiang Li

et al.

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100963 - 100963

Published: April 1, 2025

Language: Английский

Citations

0