Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - Reviews in …, 2021 - Wiley Online Library
The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review

L Yang, Y Liu, H Yu, X Fang, L Song, D Li… - … Methods in Engineering, 2021 - Springer
Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …

[HTML][HTML] Applications of data mining and machine learning framework in aquaculture and fisheries: A review

J Gladju, BS Kamalam, A Kanagaraj - Smart Agricultural Technology, 2022 - Elsevier
Aquaculture and fisheries sectors are finding ingenious ways to grow and meet the soaring
human demand for nutrient-rich fish and seafood by efficiently utilizing the vast water …

Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)

UF Mustapha, AW Alhassan, DN Jiang… - Reviews in …, 2021 - Wiley Online Library
Each year, there is a significant rise in demand for global food production due to population
increase and a rise in demand for protein food sources. This puts pressure on capture …

Intelligent fish farm—the future of aquaculture

C Wang, Z Li, T Wang, X Xu, X Zhang, D Li - Aquaculture International, 2021 - Springer
With the continuous expansion of aquaculture scale and density, contemporary aquaculture
methods have been forced to overproduce resulting in the accelerated imbalance rate of …

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 …

Recent advances in intelligent recognition methods for fish stress behavior

D Li, G Wang, L Du, Y Zheng, Z Wang - Aquacultural Engineering, 2022 - Elsevier
The acquisition of information on fish stress has been recognized as an urgent need for
monitoring water quality, preventing disease, and improving welfare. Minimizing the …

Application of intelligent and unmanned equipment in aquaculture: A review

Y Wu, Y Duan, Y Wei, D An, J Liu - Computers and Electronics in …, 2022 - Elsevier
The rapid development of intelligent and unmanned technology has been applied in various
fields including aquaculture. Intelligent and unmanned technologies create new …

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 target tracking applications in aquaculture with emphasis on fish

Y Mei, B Sun, D Li, H Yu, H Qin, H Liu, N Yan… - … and Electronics in …, 2022 - Elsevier
In aquaculture, Behavioral monitoring of fish contributes to scientific management and
reduces the threat of loss from disease and stress. Fish tracking technology plays an …