A machine learning approach for protected species bycatch estimation
IntroductionMonitoring bycatch of protected species is a fisheries management priority. In practice, protected species bycatch is difficult to precisely or accurately estimate with commonly used ratio estimators or parametric, linear model-based methods. Machine-learning algorithms have been propose...
Main Authors: | Christopher A. Long, Robert N. M. Ahrens, T. Todd Jones, Zachary A. Siders |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2024-04-01
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Series: | Frontiers in Marine Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2024.1331292/full |
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