Application of machine learning in intelligent fish aquaculture: A review

S Zhao, S Zhang, J Liu, H Wang, J Zhu, D Li, R Zhao - Aquaculture, 2021 - Elsevier
Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …

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 …

Real-time detection of uneaten feed pellets in underwater images for aquaculture using an improved YOLO-V4 network

X Hu, Y Liu, Z Zhao, J Liu, X Yang, C Sun… - … and electronics in …, 2021 - Elsevier
In aquaculture, the real-time detection and monitoring of feed pellet consumption is an
important basis for formulating scientific feeding strategies that can effectively reduce feed …

Real-time detection and tracking of fish abnormal behavior based on improved YOLOV5 and SiamRPN++

H Wang, S Zhang, S Zhao, Q Wang, D Li… - … and Electronics in …, 2022 - Elsevier
In recirculating aquaculture system, the abnormal behavior of fish is usually caused by poor
water quality, hypoxia or diseases. Delayed recognition of this behavior will lead to large …

[HTML][HTML] Development of smart aquaculture farm management system using IoT and AI-based surrogate models

MC Chiu, WM Yan, SA Bhat, NF Huang - journal of Agriculture and Food …, 2022 - Elsevier
Due to low labor participation by young adults and an aging agricultural population, Taiwan
and the rest of the world are facing labor shortages in agriculture, which will affect …

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 …

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 …

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 …

Composited FishNet: Fish detection and species recognition from low-quality underwater videos

Z Zhao, Y Liu, X Sun, J Liu, X Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The automatic detection and identification of fish from underwater videos is of great
significance for fishery resource assessment and ecological environment monitoring …

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 …