[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 …

Recent advancements in deep learning frameworks for precision fish farming opportunities, challenges, and applications

G Kaur, N Adhikari, S Krishnapriya… - Journal of Food …, 2023 - Wiley Online Library
The growth of the fish is influenced by a variety of scientific factors. So, profit can be easily
achieved by using some clever techniques, for example, maintaining the correct pH level …

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 …

[HTML][HTML] Overview of smart aquaculture system: Focusing on applications of machine learning and computer vision

TTE Vo, H Ko, JH Huh, Y Kim - Electronics, 2021 - mdpi.com
Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …

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 …

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 …

A method overview in smart aquaculture

Z Hu, R Li, X Xia, C Yu, X Fan, Y Zhao - Environmental Monitoring and …, 2020 - Springer
Aquaculture is an important part of agricultural economy. In the past, major farming
accidents often occurred due to subjective experience. There are many factors affecting the …

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 …

[HTML][HTML] Industry 4.0-based smart systems in aquaculture: A comprehensive review

V Biazi, C Marques - Aquacultural Engineering, 2023 - Elsevier
The Aquaculture industry is a sector that faces difficulties in maintaining a high-quality
production of food in a sustainable way due to the technological limitations of the …

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 …