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 …
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 …
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 …
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 …
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 …
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 …
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 …
Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have …
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 …