Revealing Sea Turtle Behavior in Relation to Fishing Gear Using Color-Coded Spatiotemporal Motion Patterns With Deep Neural Networks

Revealing Sea Turtle Behavior in Relation to Fishing Gear Using Color-Coded Spatiotemporal Motion Patterns With Deep Neural Networks

Incidental capture, or bycatch, of marine species is a global conservation concern. Interactions with fishing gear can cause mortality in air-breathing marine megafauna, including sea turtles. Despite this, interactions between sea turtles and fishing gear—from a behavior standpoint—are not sufficie...

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Bibliographic Details
Main Authors: Janie L. Reavis, H. Seckin Demir, Blair E. Witherington, Michael J. Bresette, Jennifer Blain Christen, Jesse F. Senko, Sule Ozev
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Marine Science
Subjects:
green turtle
Chelonia mydas
behavior recognition
color-coding
spatiotemporal features
neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2021.785357/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2021.785357/full

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