Exploring the potential impacts of machine learning on trust in fishery management-Reference-Cited by-同舟云学术

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Exploring the potential impacts of machine learning on trust in fishery management

Published:2022-03-21 Issue:4 Volume:23 Page:1016-1023
ISSN:1467-2960
Container-title:Fish and Fisheries
language:en
Short-container-title:Fish and Fisheries

Author:

Sohns Antonia¹²^ORCID,Hickey Gordon M.²,Temby Owen³

Affiliation:

1. The Roux Institute Northeastern University Portland Maine USA

2. Department of Natural Resource Sciences McGill University Montreal Quebec Canada

3. School of Earth, Environmental and Marine Sciences University of Texas Rio Grande Valley Edinburg Texas USA

Funder

Social Sciences and Humanities Research Council of Canada

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/faf.12658

Reference70 articles.

1. A reinforcement learning approach to tackle illegal, unreported and unregulated fishing

2. Governing the commons beyond harvesting: An empirical illustration from fishing

3. Setting the stage for the machine intelligence era in marine science

4. Applying deep learning to right whale photo identification

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1. Electronic Monitoring Policy at Sea Beyond “Human Bycatch”;Environmental Justice;2024-07-24

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