Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review

L Yang, Y Liu, H Yu, X Fang, L Song, D Li… - … Methods in Engineering, 2021 - Springer
Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …

Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review

D Li, Y Hao, Y Duan - Reviews in Aquaculture, 2020 - Wiley Online Library
Fish biomass estimation is one of the most common and important practices in aquaculture.
The regular acquisition of fish biomass information has been identified as an urgent need for …

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 …

Intelligent fish feeding based on machine vision: A review

L Zhang, B Li, X Sun, Q Hong, Q Duan - Biosystems Engineering, 2023 - Elsevier
Highlights•Recent advances of intelligent fish feeding based on machine vision are
summarised.•The key technologies involved in intelligent fish feeding are introduced.•It …

YOLO fish detection with Euclidean tracking in fish farms

Y Wageeh, HED Mohamed, A Fadl, O Anas… - Journal of Ambient …, 2021 - Springer
The activities of managing fish farms, like fish ponds surveillance, are one of the tough and
costly fish farmers' missions. Generally, these activities are done manually, wasting time and …

Msr-yolo: Method to enhance fish detection and tracking in fish farms

HED Mohamed, A Fadl, O Anas, Y Wageeh… - Procedia Computer …, 2020 - Elsevier
Tasks involving the monitoring of fish farms such as controlling fish ponds is one of the
expensive and difficult tasks for fish farmers. Usually, fish farmers are doing these tasks …

Dynamic fry counting based on multi-object tracking and one-stage detection

H Zhang, W Li, Y Qi, H Liu, Z Li - Computers and Electronics in Agriculture, 2023 - Elsevier
Fry counting is an essential task in aquaculture that provides valuable information for
feedstuff feeding, culture density adjustment, and fish economic benefit estimation. However …

Machine learning applied to big data from marine cabled observatories: A case study of sablefish monitoring in the NE Pacific

F Bonofiglio, FC De Leo, C Yee… - Frontiers in Marine …, 2022 - frontiersin.org
Ocean observatories collect large volumes of video data, with some data archives now
spanning well over a few decades, and bringing the challenges of analytical capacity …

A kinematic analysis-based on-line fingerlings counting method using low-frame-rate camera

J Zhou, D Ji, J Zhao, S Zhu, Z Peng, G Lu… - Computers and Electronics …, 2022 - Elsevier
Accurate estimation of fingerlings quantity is one of the most challenging aspects of
aquaculture, relevant simple and efficient solutions, however, are still lacking. To address …

Expert, Crowd, Students or Algorithm: who holds the key to deep‐sea imagery 'big data'processing?

M Matabos, M Hoeberechts, C Doya… - Methods in Ecology …, 2017 - Wiley Online Library
Recent technological development has increased our capacity to study the deep sea and
the marine benthic realm, particularly with the development of multidisciplinary seafloor …