Motion tracking of fish and bubble clouds in synthetic aperture sonar data DOI Creative Commons

Timothy M. Marston,

Bernard R. Hall,

Christopher Bassett

et al.

The Journal of the Acoustical Society of America, Journal Year: 2024, Volume and Issue: 155(3), P. 2181 - 2191

Published: March 1, 2024

Data captured by a Synthetic Aperture Sonar (SAS) near Mobile Bay during the 2021 Undersea Remote Sensing experiment funded Office of Naval Research reveals surface bubble clouds from wave breaking events and large aggregation fish. Tools developed for using SAS data to image hydrodynamic features in water column were applied observations fish aggregation. Combining imagery height sonar array with detection tracking algorithm enables trajectories, velocities, behavior be observed. Fitting velocity tracked objects Gaussian mixture model performing cluster analysis an estimate near-surface ambient via observation movement traces general direction motion We find that associated bubbles are consistent currents as opposed propagating crests while velocities indicate relatively large, pelagic species.

Language: Английский

Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity DOI Creative Commons
Alexa Sugpatan Abangan, Dorothée Kopp, Robin Faillettaz

et al.

Frontiers in Marine Science, Journal Year: 2023, Volume and Issue: 10

Published: Feb. 23, 2023

Through the advancement of observation systems, our vision has far extended its reach into world fishes, and how they interact with fishing gears—breaking through physical boundaries visually adapting to challenging conditions in marine environments. As sciences step era artificial intelligence (AI), deep learning models now provide tools for researchers process a large amount imagery data (i.e., image sequence, video) on fish behavior more time-efficient cost-effective manner. The latest AI detect categorize species are reaching human-like accuracy. Nevertheless, robust track movements situ under development primarily focused tropical species. Data accurately interpret interactions gears is still lacking, especially temperate fishes. At same time, this an essential selectivity studies advance integrate methods assessing effectiveness modified gears. We here conduct bibliometric analysis review recent advances applications automated tracking, classification, recognition, highlighting may ultimately help improve gear selectivity. further show transforming external stimuli that influence behavior, such as sensory cues background, interpretable features learn distinguish remains challenging. By presenting applied improvements (e.g., Long Short-Term Memory (LSTM), Generative Adversarial Network (GAN), coupled networks), we discuss advances, potential limits meet demands policies sustainable goals, scientists developers continue collaborate building database needed train models.

Language: Английский

Citations

23
AcousticIA, a deep neural network for multi-species fish detection using multiple models of acoustic cameras DOI
Guglielmo Fernandez Garcia, Thomas Corpetti, Marie Nevoux

et al.

Aquatic Ecology, Journal Year: 2023, Volume and Issue: 57(4), P. 881 - 893

Published: Jan. 20, 2023

Language: Английский

Citations

13
Sound sees more: A comparison of imaging sonars and optical cameras for estimating fish densities at artificial reefs DOI Creative Commons
Edward C.P. Sibley, Travis S. Elsdon, Michael J. Marnane

et al.

Fisheries Research, Journal Year: 2023, Volume and Issue: 264, P. 106720 - 106720

Published: April 23, 2023

Imaging sonars are increasingly being utilised in fish surveys conjunction with or as substitutes for optical instruments. To justify the use of imaging sonars, we must first describe their application, limitations, and efficacy compared to optics. This study quantitative data assemblages obtained using operating at four frequencies (0.75, 1.2, 2.1, 3 MHz) simultaneous camera footage two artificial reefs. Fish densities were on average three times higher sonar than Greater detection by was attributed site-attached fishes that camouflaged against reefs adjacent seabed, which could be discriminated sonar, but not suggests differences habitat assemblage composition influence relative performance density estimates versus Several limitations identified need accounted future survey designs, including: discriminating from benthic growth; an inability detect within complex structures; seabed side-lobe interferences truncate volume. Overall, this demonstrates value quantifying communities describes recommendations deployment surveys.

Language: Английский

Citations

12
Current Challenges in Fisheries and Aquaculture Sector: A Technological Perspective DOI
M. Junaid Sidiq, Parvaiz Ahmad Ganie, Ravindra Posti

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Hypoxia monitoring of fish in intensive aquaculture based on underwater multi-target tracking DOI
Yuxiang Li, Hequn Tan, Yuxuan Deng

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 232, P. 110127 - 110127

Published: Feb. 16, 2025

Language: Английский

Citations

0
Fish Detection in Fishways for Hydropower Stations Using Bidirectional Cross-Scale Feature Fusion DOI Creative Commons
Junming Wang, Yankun Gong, Wupeng Deng

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 2743 - 2743

Published: March 4, 2025

Fishways can effectively validate the effectiveness and rationality of their construction, optimize operational modes, achieve intelligent scientific management through fish species detection. Traditional detection methods for fishways are unsuitable due to inefficiency disruption ecological environment. Therefore, combining cameras with target technology provides a better solution. However, challenges include limited computational power onsite equipment, complexity model deployment, low accuracy, slow speed, all which significant obstacles. This paper proposes accurate efficient Firstly, backbone network integrates FasterNet-Block, C2f, an multi-scale EMA attention mechanism address dispersion problems during feature extraction, delivering real-time object across different scales. Secondly, Neck introduces novel architecture enhance fusion by integrating RepBlock BiFusion modules. Finally, performance is demonstrated based on Fish26 dataset, in cost, parameter count significantly optimized 1.7%, 23.4%, 24%, respectively, compared state-of-the-art model. At same time, we installed devices specific fishway deployed proposed method within these devices. We collected data four passing create dataset train The results practical application superior capabilities, rapid ability achieved while minimizing resource usage. validated equipment deployment real-world engineering environments. marks shift from traditional manual fishways, promoting water utilization protection

Language: Английский

Citations

0
Mississippi River-floodplain connectivity level mediates fish assemblage dynamics DOI Creative Commons
Adam H. Quade,

Allyse Ferrara,

Quenton Fontenot

et al.

Journal of Limnology, Journal Year: 2025, Volume and Issue: 84

Published: March 11, 2025

The life histories of many Louisiana fishes are tied to the timing, magnitude, and duration Mississippi River flood pulse. Anthropogenic modifications designed control restrict waters have decoupled Louisiana’s floodplains from seasonal pulse, influencing aquatic food web. Culvert rock weir repair within Richard K. Yancey Wildlife Management Area aims improve water quality maintain appropriate depth for native fishes. In this study we conducted high-resolution imaging sonar (ARIS Explorer 3000) monitoring floodplain fish assemblage across seasons prior hydrologic restoration. Imaging sonars may be used obtain quantitative ecological behavioral information without selectivity biases traditional techniques through recording continuous video-like datasets that not constrained by environmental factors such as turbidity. Our first objective was test hypothesis inundation levels proximity affect abundance size class distribution floodplain-associated assemblage. second characterize species composition function each acoustically-detected using historical fisheries collected Department Fisheries. To do so, employed multi-gear mean standardization technique standardizing catch per unit effort passive active gear types dataset in order produce a non-exhaustive list potentially recorded sonar. demonstrated dependent use habitats mediated level, but distance River. results illustrated trend increased detections all classes during high-water connected-spring summer periods, well disconnected-summer periods immediately following Continued will provide additional data better describe complex dynamic patterns exhibit response pulse restoration efforts.

Language: Английский

Citations

0
Computer vision based approaches for fish monitoring systems: a comprehensive study DOI Creative Commons
Said Al‐Abri, Sanaz Keshvari,

Khalfan M. Al-Rashdi

et al.

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(6)

Published: March 25, 2025

Language: Английский

Citations

0
Which baits for attracting black seabream (Spondyliosoma cantharus) in fish traps? DOI Creative Commons
Sonia Méhault, Joachim W. Fluhr,

Fabien Morandeau

et al.

Fisheries Research, Journal Year: 2025, Volume and Issue: 285, P. 107355 - 107355

Published: March 31, 2025

Language: Английский

Citations

0
Spotting gar using imaging sonar: The effects of river–floodplain habitat connectivity on a lepisosteid assemblage DOI Creative Commons
Adam H. Quade,

Allyse Ferrara,

Quenton Fontenot

et al.

Transactions of the American Fisheries Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

ABSTRACT Objective Anthropogenic modifications, such as levee construction and other flood control structures, have decoupled Louisiana’s floodplains from the seasonal pulse, influencing aquatic food web dynamics. Many of fish species rely on timing, magnitude, duration Mississippi River pulse to trigger key aspects their life histories. At Richard K. Yancey Wildlife Management Area, 283 ha floodplain are undergoing weir culvert repair retain water depth improve quality for native Louisiana fishes, with particular focus large nongame species, gars (Lepisosteidae). Methods Beginning in summer 2021, we conducted high-resolution imaging sonar monitoring gar abundance, size-class distribution, habitat use across seasons at four sites through a latitudinal gradient decreasing hydrologic connectivity. We tested hypothesis that degree river–floodplain connectivity, mediated by inundation levels proximity River, affects abundance distribution floodplain. Results Our study demonstrated size-class-dependent habitats was level but not distance River. results suggest remaining pools water, when disconnected main-stem river, likely provide both nursery refuge floodplain-associated gar. Conclusions Continued efforts will additional data better describe complex interactions between fishes relation restoration efforts.

Language: Английский

Citations

0