[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey

A Saleh, M Sheaves, D Jerry, MR Azghadi - Expert Systems with …, 2023 - Elsevier
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Computer vision and deep learning for fish classification in underwater habitats: A survey

A Saleh, M Sheaves, M Rahimi Azghadi - Fish and Fisheries, 2022 - Wiley Online Library
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …

Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook

M Goodwin, KT Halvorsen, L Jiao… - ICES Journal of …, 2022 - academic.oup.com
The deep learning (DL) revolution is touching all scientific disciplines and corners of our
lives as a means of harnessing the power of big data. Marine ecology is no exception. New …

[HTML][HTML] A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis

A Saleh, IH Laradji, DA Konovalov, M Bradley… - Scientific Reports, 2020 - nature.com
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for
human consumption and environmental protection. Deep Learning methods have shown …

Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish

D Li, L Du - Artificial Intelligence Review, 2022 - Springer
Monitoring the growth conditions and behavior of fish will enable scientific management,
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …

[HTML][HTML] Coastal fisheries resource monitoring through A deep learning-based underwater video analysis

D Zhang, NE O'Conner, AJ Simpson, C Cao… - Estuarine, Coastal and …, 2022 - Elsevier
Unlike land, the oceans, although covering more than 70% of the planet, are largely
unexplored. Global fisheries resources are central to the sustainability and quality of life on …

Fish species classification in unconstrained underwater environments based on deep learning

A Salman, A Jalal, F Shafait, A Mian… - Limnology and …, 2016 - Wiley Online Library
Underwater video and digital still cameras are rapidly being adopted by marine scientists
and managers as a tool for non‐destructively quantifying and measuring the relative …

Deep learning for visual recognition and detection of aquatic animals: A review

J Li, W Xu, L Deng, Y Xiao, Z Han… - Reviews in …, 2023 - Wiley Online Library
The ocean is an important ecosystem, and aquatic animals play an important role in the
biological world, especially in aquaculture. How to accurately and intelligently recognise …

[HTML][HTML] Confronting deep-learning and biodiversity challenges for automatic video-monitoring of marine ecosystems

S Villon, C Iovan, M Mangeas, L Vigliola - Sensors, 2022 - mdpi.com
With the availability of low-cost and efficient digital cameras, ecologists can now survey the
world's biodiversity through image sensors, especially in the previously rather inaccessible …

[HTML][HTML] Automating the analysis of fish abundance using object detection: optimizing animal ecology with deep learning

EM Ditria, S Lopez-Marcano, M Sievers… - Frontiers in Marine …, 2020 - frontiersin.org
Aquatic ecologists routinely count animals to provide critical information for conservation
and management. Increased accessibility to underwater recording equipment such as action …