Citizen science and machine learning: Interdisciplinary approach to non-invasively monitoring a northern marine ecosystem

Citizen science and machine learning: Interdisciplinary approach to non-invasively monitoring a northern marine ecosystem

Successful conservation efforts often require novel tactics to achieve the desired goals of protecting species and habitats. One such tactic is to develop an interdisciplinary, collaborative approach to ensure that conservation initiatives are science-based, scalable, and goal-oriented. This approac...

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Bibliographic Details
Main Authors: Ashleigh M. Westphal, C-Jae C. Breiter, Sarah Falconer, Najmeh Saffar, Ahmed B. Ashraf, Alysa G. McCall, Kieran McIver, Stephen D. Petersen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Marine Science
Subjects:
citizen science
machine learning
Cnidara
Ctenophora
conservation
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2022.961095/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2022.961095/full

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