The application and future of biofloc technology (BFT) in aquaculture industry: A review

YB Yu, JH Lee, JH Choi, YJ Choi, AH Jo… - Journal of …, 2023 - Elsevier
This review describes the applicability of biofloc technology (BFT) to future aquaculture
technologies. BFT is considered an innovative alternative for solving the problems of …

Role of artificial intelligence (AI) in fish growth and health status monitoring: A review on sustainable aquaculture

A Mandal, AR Ghosh - Aquaculture International, 2024 - Springer
Aquaculture plays a crucial role in meeting the growing global demand for seafood, but it
faces challenges in terms of fish growth and health monitoring. The advancement of artificial …

[HTML][HTML] Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends

H Rastegari, F Nadi, SS Lam, M Ikhwanuddin… - Smart Agricultural …, 2023 - Elsevier
Aquaculture produces nearly half of the seafood consumed by the ever-growing world
population. There have been attempts to adopt novel technologies into the industry to …

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 …

[HTML][HTML] Digital twin-based intelligent fish farming with Artificial Intelligence Internet of Things (AIoT)

NA Ubina, HY Lan, SC Cheng, CC Chang… - Smart Agricultural …, 2023 - Elsevier
This paper focuses on designing a Digital Twin infrastructure that supports an agile-based
Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in …

Research progress of computer vision technology in abnormal fish detection

C Liu, Z Wang, Y Li, Z Zhang, J Li, C Xu, R Du… - Aquacultural …, 2023 - Elsevier
Abnormal fish detection helps producers adjust breeding strategies in a timely manner to
prevent the occurrence of diseases and improve aquaculture efficiency and quality. The …

LFCNet: A lightweight fish counting model based on density map regression

Y Zhao, W Li, Y Li, Y Qi, Z Li, J Yue - Computers and Electronics in …, 2022 - Elsevier
Accurate counting of fish is a fundamental task of fish farming and crucial for density
regulation, bait planning, and economic benefit evaluation. However, computational …

[HTML][HTML] Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand

MA Rather, I Ahmad, A Shah, YA Hajam, A Amin… - Food Chemistry: X, 2024 - Elsevier
The increasing global population drives a rising demand for food, particularly fish as a
preferred protein source, straining capture fisheries. Overfishing has depleted wild stocks …

Intelligent diagnosis of fish behavior using deep learning method

U Iqbal, D Li, M Akhter - Fishes, 2022 - mdpi.com
Scientific methods are used to monitor fish growth and behavior and reduce the loss caused
by stress and other circumstances. Conventional techniques are time-consuming, labor …

Fish detection and classification for automatic sorting system with an optimized yolo algorithm

A Kuswantori, T Suesut, W Tangsrirat, G Schleining… - Applied Sciences, 2023 - mdpi.com
Featured Application In the future, the application of this study is very feasible and very close
to being implemented for the auto-sorting system for various fish or other objects, in the fish …