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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Janie L. Reavis, H. Seckin Demir, Blair E. Witherington, Michael J. Bresette, Jennifer Blain Christen, Jesse F. Senko, Sule Ozev
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
green turtle
Chelonia mydas
behavior recognition
color-coding
spatiotemporal features
neural network
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
Acceso en línea:https://doaj.org/article/5e2f5ed0fb3345a4a1b3a93e64fb6920
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/5e2f5ed0fb3345a4a1b3a93e64fb6920

Ejemplares similares