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 …

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 …

Application of deep learning-based object detection techniques in fish aquaculture: a review

H Liu, X Ma, Y Yu, L Wang, L Hao - Journal of Marine Science and …, 2023 - mdpi.com
Automated monitoring and analysis of fish's growth status and behaviors can help scientific
aquaculture management and reduce severe losses due to diseases or overfeeding. With …

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 …

[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 …

Improved deep learning framework for fish segmentation in underwater videos

NFF Alshdaifat, AZ Talib, MA Osman - Ecological Informatics, 2020 - Elsevier
Deep learning networks have become increasingly popular in recent years due to promising
breakthroughs achieved in several areas. The importance of deep learning lies in the …

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 …

[PDF][PDF] Deep learning in aquaculture: A review

M Sun, X Yang, Y Xie - J. Comput, 2020 - csroc.org.tw
Aquaculture is a complex, multicomponent, interactive process that is dependent on water
resource, animal, human as well as capital investment. The measured data affected by …

Assessing fish abundance from underwater video using deep neural networks

R Mandal, RM Connolly, TA Schlacher… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Uses of underwater videos to assess diversity and abundance of fish are being rapidly
adopted by marine biologists. Manual processing of videos for quantification by human …

Temperate fish detection and classification: a deep learning based approach

KM Knausgård, A Wiklund, TK Sørdalen… - Applied …, 2022 - Springer
A wide range of applications in marine ecology extensively uses underwater cameras. Still,
to efficiently process the vast amount of data generated, we need to develop tools that can …