Species distribution modeling based on the automated identification of citizen observations

PREMISE OF THE STUDY: A species distribution model computed with automatically identified plant observations was developed and evaluated to contribute to future ecological studies. METHODS: We used deep learning techniques to automatically identify opportunistic plant observations made by citizens t...

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Detalles Bibliográficos
Autores principales: Botella, Christophe, Joly, Alexis, Bonnet, Pierre, Monestiez, Pascal, Munoz, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Application Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851560/
https://www.ncbi.nlm.nih.gov/pubmed/29732259
http://dx.doi.org/10.1002/aps3.1029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5851560/
https://www.ncbi.nlm.nih.gov/pubmed/29732259
http://dx.doi.org/10.1002/aps3.1029

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