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 …

[HTML][HTML] Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos

M Jahanbakht, MR Azghadi, NJ Waltham - Ecological Informatics, 2023 - Elsevier
Fish are key members of marine ecosystems, and they have a significant share in the
healthy human diet. Besides, fish abundance is an excellent indicator of water quality, as …

Fish surveys on the move: Adapting automated fish detection and classification frameworks for videos on a remotely operated vehicle in shallow marine waters

RM Connolly, KI Jinks, C Herrera… - Frontiers in Marine …, 2022 - frontiersin.org
Mobile underwater cameras, diver-operated or on underwater vehicles, have become
popular for monitoring fisheries. Replacing divers with cameras has clear advantages, such …

Artificial Intelligence Applications in Fish Classification and Taxonomy: Advancing Our Understanding of Aquatic Biodiversity

S Wasik, R Pattinson - FishTaxa-Journal of Fish Taxonomy, 2024 - fishtaxa.com
The purpose of this research study is determining that artificial intelligence applications
related to the fish classification also that taxonomy. Research describes that aquatic …

Employing an innovative underwater camera to improve electronic monitoring in the commercial Gulf of Mexico reef fish fishery

C Neidig, M Lee, G Patrick, R Schloesser - Plos one, 2024 - journals.plos.org
Vessel electronic monitoring (EM) systems used in fisheries around the world apply a variety
of cameras to record catch as it is brought on deck and during fish processing activities. In …

[HTML][HTML] Membership inference attack for beluga whales discrimination

VM Araújo, S Gambs, R Michaud, H Lautraite… - Ecological …, 2024 - Elsevier
To efficiently monitor the growth and evolution of a particular wildlife population, one of the
fundamental challenges to address in animal ecology is the re-identification of individuals …

[HTML][HTML] Adaptive density guided network with CNN and Transformer for underwater fish counting

S Zheng, R Wang, S Zheng, L Wang, H Jiang - Journal of King Saud …, 2024 - Elsevier
Accurate assessment of high-density underwater fish resources is vital to the aquaculture
industry. It is directly related to the formulation of fishery insurance strategies and the …

Dynamic monitoring of surface area and water volume of reservoirs using satellite imagery, computer vision and deep learning

AM de Albuquerque Teixeira, LV Batista… - Remote Sensing …, 2024 - Elsevier
The development of surface area and estimated volume measurements for water reservoirs
using advanced computational techniques has become an increasingly important task for …

ConvFishNet: An efficient backbone for fish classification from composited underwater images

H Qu, GG Wang, Y Li, X Qi, M Zhang - Information Sciences, 2024 - Elsevier
For the purpose of monitoring fish health, managing aquaculture, and comprehending
marine ecology, there is a growing interest in the automatic classification of different fish …

Fish Tracking, Counting, and Behaviour Analysis in Digital Aquaculture: A Comprehensive Review

M Cui, X Liu, H Liu, J Zhao, D Li, W Wang - arXiv preprint arXiv …, 2024 - arxiv.org
Digital aquaculture leverages advanced technologies and data-driven methods, providing
substantial benefits over traditional aquaculture practices. Fish tracking, counting, and …