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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 …
methods have been forced to overproduce resulting in the accelerated imbalance rate of …
[HTML][HTML] A review of unmanned system technologies with its application to aquaculture farm monitoring and management
NA Ubina, SC Cheng - Drones, 2022 - mdpi.com
This paper aims to provide an overview of the capabilities of unmanned systems to monitor
and manage aquaculture farms that support precision aquaculture using the Internet of …
and manage aquaculture farms that support precision aquaculture using the Internet of …
Automatic recognition methods of fish feeding behavior in aquaculture: A review
Feeding is a major factor that determines the production costs and water quality of
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …
aquaculture. Analysis of fish feeding behavior forms an important part of the feeding …
[HTML][HTML] A review on the use of computer vision and artificial intelligence for fish recognition, monitoring, and management
JGA Barbedo - Fishes, 2022 - mdpi.com
Computer vision has been applied to fish recognition for at least three decades. With the
inception of deep learning techniques in the early 2010s, the use of digital images grew …
inception of deep learning techniques in the early 2010s, the use of digital images grew …
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 …
prevent the occurrence of diseases and improve aquaculture efficiency and quality. The …
Evaluating fish feeding intensity in aquaculture with convolutional neural networks
N Ubina, SC Cheng, CC Chang, HY Chen - Aquacultural Engineering, 2021 - Elsevier
This paper presents a novel method to evaluate fish feeding intensity for aquaculture fish
farming. Determining the level of fish appetite helps optimize fish production and design …
farming. Determining the level of fish appetite helps optimize fish production and design …
[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …
integral role in providing a valuable food source and conservation outcomes. Due to their …
Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity
AS Abangan, D Kopp, R Faillettaz - Frontiers in Marine Science, 2023 - frontiersin.org
Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …
the world of fishes, and how they interact with fishing gears—breaking through physical …
Automatic detection of fish and tracking of movement for ecology
Animal movement studies are conducted to monitor ecosystem health, understand
ecological dynamics, and address management and conservation questions. In marine …
ecological dynamics, and address management and conservation questions. In marine …
Monitoring methods of feeding behaviour to answer key questions in penaeid shrimp feeding
JB Darodes de Tailly, J Keitel, MAG Owen… - Reviews in …, 2021 - Wiley Online Library
The penaeid shrimp farming industry is a fast‐growing sector which continues to suffer from
significant feeding inefficiencies. Shrimp are slow to feed on pellets, with consumption …
significant feeding inefficiencies. Shrimp are slow to feed on pellets, with consumption …