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 …

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 …

[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 …

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] 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 …

[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 …

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 …

Implementation of information and communication technologies to increase sustainable productivity in freshwater finfish aquaculture–A review

F Bernal-Higuita, M Acosta-Coll… - Journal of Cleaner …, 2023 - Elsevier
The practice of continental aquaculture has grown globally, mainly due to its ability to
provide protein to vulnerable populations and stimulate local economies in many regions of …

[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 …

Detection of fish freshness using artificial intelligence methods

ET Yasin, IA Ozkan, M Koklu - European Food Research and Technology, 2023 - Springer
Fish is commonly acknowledged as a highly nutritious food in many regions worldwide, and
humans have been consuming fish for centuries to meet their protein and nutritional …