Streamlining the study of the Tierra del Fuego forest through the use of deep learning

Understanding plant-herbivorous relationships allows to optimize the way to manage and protect natural spaces. In this paper the study of this relationship in the ñire forests (Nothofagus antarctica) of the province of Tierra del Fuego (Argentina) is approached. Using trap cameras to monitor such in...

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Detalles Bibliográficos
Autores principales: Viera, Leonel, González, Federico, Soler, Rosina, Romano, Lucas, Feierherd, Guillermo Eugenio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Machine learning
Deep learning
Computer vision
Trap cameras
Forests
Image recognition
Ñire
Antarctic nothofagus
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/91024
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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