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

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

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 beyond conventional processing tools. The analysis of such vast and complex datasets can only be achieved with appropriate machine...

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Bibliographic Details
Main Authors: Federico Bonofiglio, Fabio C. De Leo, Connor Yee, Damianos Chatzievangelou, Jacopo Aguzzi, Simone Marini
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Marine Science
Subjects:
big data
machine learning
marine observatories
automated video analysis
fishery independent monitoring
ocean network Canada
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2022.842946/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2022.842946/full

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