Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Survey

Reviews in Aquaculture, Год журнала: 2025, Номер 17(1)

Опубликована: Янв. 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.

Язык: Английский

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Deep learning in multiple animal tracking: A survey

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 224, С. 109161 - 109161

Опубликована: Июнь 25, 2024

Язык: Английский

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Multi-object tracking algorithm based on interactive attention network and adaptive trajectory reconnection

Expert Systems with Applications, Год журнала: 2024, Номер 249, С. 123581 - 123581

Опубликована: Фев. 29, 2024

Язык: Английский

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A Fast and Dynamic Tracking-based Micropterus salmoides Fry Counting Method in Highly Occluded Scenarios

Aquacultural Engineering, Год журнала: 2025, Номер unknown, С. 102546 - 102546

Опубликована: Апрель 1, 2025

Язык: Английский

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Yolo-AWD+CBT: An efficient algorithm for Micropterus salmoides swimming behavior analysis based on multi-object tracking

Aquaculture, Год журнала: 2024, Номер 595, С. 741554 - 741554

Опубликована: Сен. 6, 2024

Язык: Английский

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A two-stage 3D multi-fish tracking model using patch-based underwater stereo matching

Biosystems Engineering, Год журнала: 2025, Номер 250, С. 144 - 157

Опубликована: Янв. 6, 2025

Язык: Английский

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Application of artificial intelligence (AI) in aquaculture/fisheries: Microbial disease identification and diagnosis

Methods in microbiology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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A lightweight method for detecting turned white belly fish in ponds using unmanned aerial vehicle imagery

Engineering Applications of Artificial Intelligence, Год журнала: 2025, Номер 144, С. 110111 - 110111

Опубликована: Янв. 24, 2025

Язык: Английский

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Hypoxia monitoring of fish in intensive aquaculture based on underwater multi-target tracking

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 232, С. 110127 - 110127

Опубликована: Фев. 16, 2025

Язык: Английский

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Robust Multi-Object Tracking with pseudo-information guided motion and enhanced semantic vision

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126846 - 126846

Опубликована: Фев. 1, 2025

Язык: Английский

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