A survey of fish behaviour quantification indexes and methods in aquaculture

An, Dong; Huang, Jinze; Wei, Yaoguang

doi:10.1111/raq.12564

Cited by 30 publications

(14 citation statements)

References 171 publications

(299 reference statements)

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“…The challenge is that very often behavioral indicators are difficult to quantify in the aquatic environment (absolute changes in swimming speed, aggression levels, and gill beat frequency) and proper assessment of fish welfare often requires additional physiological measurements (Sadoul et al, 2021). Moreover, these analysis becomes tedious and laborious, though underwater cameras and echo sounder technology are relatively inexpensive and provide the opportunity for real time observation of fish behavior and intelligent feeding (Hung et al, 2016;Li et al, 2020;An et al, 2021;Georgopoulou et al, 2021). Therefore, to turn quantitative behavioral analysis into practical OWI, technological advances on machine vision, biotelemetry and miniaturized bio-loggers need to be applied and adapted to the demand of fish welfare monitoring.…”

Section: Introductionmentioning

confidence: 99%

Revising the Impact and Prospects of Activity and Ventilation Rate Bio-Loggers for Tracking Welfare and Fish-Environment Interactions in Salmonids and Mediterranean Farmed Fish

et al. 2022

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Behavioral parameters are reliable and useful operational welfare indicators that yield information on fish health and welfare status in aquaculture. However, aquatic environment is still constraining for some solutions based on underwater cameras or echo sounder transmitters. Thus, the use of bio-loggers internally or externally attached to sentinel fish emerges as a solution for fish welfare monitoring in tanks- and sea cages-rearing systems. This review is focused on the recently developed AEFishBIT, a small and light data storage tag designed to be externally attached to fish operculum for individual and simultaneous monitoring of swimming activity and ventilation rates under steady and unsteady swimming conditions for short-term periods. AEFishBIT is a tri-axial accelerometer with a frequency sampling of 50–100 Hz that is able to provide proxy measurements of physical and metabolic activities validated by video recording, exercise tests in swim tunnel respirometers, and differential operculum and body tail movements across fish species with differences in swimming capabilities. Tagging procedures based on tag piercing and surgery procedures are adapted to species anatomical head and operculum features, which allowed trained operators to quickly complete the tagging procedure with a fast post-tagging recovery of just 2.5–7 h in both salmonid (rainbow trout, Atlantic salmon) and non-salmonid (gilthead sea bream, European sea bass) farmed fish. Dual recorded data are processed by on-board algorithms, providing valuable information on adaptive behavior through the productive cycle with the changing environment and genetics. Such biosensing approach also provides valuable information on social behavior in terms of adaptive capacities or changes in daily or seasonal activity, linking respiratory rates with changes in metabolic rates and energy partitioning between growth and physical activity. At short-term, upcoming improvements in device design and accompanying software are envisaged, including energy-harvesting techniques aimed to prolong the battery life and the addition of a gyroscope for the estimation of the spatial distribution of fish movements. Altogether, the measured features of AEFishBIT will assist researchers, fish farmers and breeders to establish stricter welfare criteria, suitable feeding strategies, and to produce more robust and efficient fish in a changing environment, helping to improve fish management and aquaculture profitability.

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Section: Introductionmentioning

confidence: 99%

Revising the Impact and Prospects of Activity and Ventilation Rate Bio-Loggers for Tracking Welfare and Fish-Environment Interactions in Salmonids and Mediterranean Farmed Fish

et al. 2022

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“…Swimming behaviour is affected by water quality, population density, feeding patterns and diseases 156 ; therefore, swimming behaviour and spatial distribution can be used as indicators of aquaculture welfare to evaluate hunger, stress levels and the overall health status of fish 157 . To date, acoustic telemetry techniques have been widely applied in assessing swimming behaviour in sea‐cage aquaculture of Chinook salmon ( Oncorhychus tshawytscha ), 158 Atlantic cod ( Gadus morhua ), 159 Atlantic salmon ( Salmo salar ) 160 and Gilt‐head seabream 147 .…”

Section: Applications Of Acoustic Technology In Aquaculturementioning

confidence: 99%

Recent advances in acoustic technology for aquaculture: A review

Wang

et al. 2023

Reviews in Aquaculture

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Acoustic technology has great application prospects in aquaculture. In particular, two indispensable, critical technologies for the future aquaculture industry are multi‐sensor acquisition that can achieve multi‐scale information fusion, collection and establishment of a global acoustic fish database and highly developed deep learning intelligent algorithms that can establish a correlation mechanism between fish acoustic and behaviour characteristics. Acoustic technology offers remarkable advantages in large and turbid water bodies for studying spatial and temporal distribution patterns of aquatic organism populations, developing on‐demand feeding systems and estimating biomass. This article reviews the development of acoustic technology and its application in aquaculture over the last 30 years. It further analyses, in detail, the advantages and disadvantages of acoustic technology in evaluating aquatic organism biomass and morphological and physical indicators, aquatic organism behaviour and welfare improvement. Challenges of acoustic technology in acquiring dynamic target data accurately, building a global acoustic fish database and establishing connections between fish behaviour and acoustic characteristics are also discussed. In brief, this article aims to help researchers and practitioners better understand the current state‐of‐the‐art acoustic technologies, which can provide strong support for smart aquaculture applications.

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“…Precision Fish Farming (PFF) aims to, among other goals, facilitate autonomous and continuous animal monitoring, and as a result, improve animal health [ 136 ]. Submerged cameras are commonly used to observe and analyze fish behavior, with more sophisticated computer vision methods [ 137 ], including machine vision systems, also available to measure behavior, especially related to feeding [ 136 , 138 , 139 , 140 , 141 , 142 , 143 , 144 , 145 ]. Technical difficulties arise and solutions are being studied to prevent occlusion that occurs when using machine vision systems to collect behavioral data on groups of fish where multiple fish are close enough together to be interpreted as one [ 141 ].…”

Section: Fish Welfare Assessment Focuses On the Shoalmentioning

confidence: 99%

Looking beyond the Shoal: Fish Welfare as an Individual Attribute

Torgerson-White¹,

Sánchez-Suárez

2022

Animals

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Welfare is an individual attribute. In general, providing captive nonhuman animals with conditions conducive to good welfare is an idea more easily applied when dealing with few individuals. However, this becomes much harder—if not impossible—under farming conditions that may imply high numbers of animals living in large group sizes. Although this is a problem inherent to intensive animal farming, it is possibly best exemplified in fish farming, for these practices often rely on extremely high numbers. In this paper we review evidence supporting the notion that fishes are individuals and fish welfare should thus also be considered at the individual level, examine the current state of welfare assessment in the aquaculture industry, evaluate these practices in light of individualized terrestrial animal welfare assessment methods, and make recommendations regarding research that could lead to a better understanding of how to provide each individual fish with good welfare in captivity.

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A survey of fish behaviour quantification indexes and methods in aquaculture

Abstract: A survey of fish behaviour quantification analysis in aquaculture, including the development of various quantification indexes, algorithms and procedure.

Cited by 30 publications

References 171 publications

Revising the Impact and Prospects of Activity and Ventilation Rate Bio-Loggers for Tracking Welfare and Fish-Environment Interactions in Salmonids and Mediterranean Farmed Fish

Revising the Impact and Prospects of Activity and Ventilation Rate Bio-Loggers for Tracking Welfare and Fish-Environment Interactions in Salmonids and Mediterranean Farmed Fish

Recent advances in acoustic technology for aquaculture: A review

Looking beyond the Shoal: Fish Welfare as an Individual Attribute

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