Feeding behavior quantification and recognition for intelligent fish farming application: A review

IF 2.2 2区农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE

Applied Animal Behaviour Science Pub Date : 2025-03-05 DOI:10.1016/j.applanim.2025.106588

Yuchen Xiao , Liuyi Huang , Shubin Zhang , Chunwei Bi , Xinxing You , Shuyue He , Jianfeng Guan

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引用次数: 0

Abstract

Experience-driven manual and mechanical feeding often fail to accurately address fish appetite needs in aquaculture. Analyzing the relationship between fish behavior and feeding activity through efficient modeling to develop intelligent feeding systems is a key challenge in current research. In this regard, computer vision has emerged as an effective tool for behavior analysis due to its cost-effectiveness and non-invasive nature. Based on this, this paper provides a comprehensive review of the research progress in applying computer vision to fish feeding behavior analysis and its practical implementations. Firstly, this study introduces the key indicators reflecting fish feeding states. Subsequently, we summarize and discuss the critical methods developed in recent years for quantifying and recognizing fish feeding behavior using computer vision. Additionally, the paper consolidates and analyzes case studies of intelligent feeding applications based on these methods. Finally, based on current research advancements, this paper highlights four key challenges future directions for intelligent feeding technology, including real-time performance, stability, efficiency, and fish welfare. The goal of this work is to offer a scientific foundation and valuable reference for the development of intelligent feeding systems in aquaculture, while also inspiring further reflection and exploration among researchers.

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来源期刊

Applied Animal Behaviour Science 农林科学-行为科学

CiteScore

4.40

自引率

21.70%

发文量

191

审稿时长

18.1 weeks

期刊介绍： This journal publishes relevant information on the behaviour of domesticated and utilized animals. Topics covered include: -Behaviour of farm, zoo and laboratory animals in relation to animal management and welfare -Behaviour of companion animals in relation to behavioural problems, for example, in relation to the training of dogs for different purposes, in relation to behavioural problems -Studies of the behaviour of wild animals when these studies are relevant from an applied perspective, for example in relation to wildlife management, pest management or nature conservation -Methodological studies within relevant fields The principal subjects are farm, companion and laboratory animals, including, of course, poultry. The journal also deals with the following animal subjects: -Those involved in any farming system, e.g. deer, rabbits and fur-bearing animals -Those in ANY form of confinement, e.g. zoos, safari parks and other forms of display -Feral animals, and any animal species which impinge on farming operations, e.g. as causes of loss or damage -Species used for hunting, recreation etc. may also be considered as acceptable subjects in some instances -Laboratory animals, if the material relates to their behavioural requirements