Deep learning and citizen science enable automated plant trait predictions from photographs

Plant functional traits (‘traits’) are essential for assessing biodiversity and ecosystem processes, but cumbersome to measure. To facilitate trait measurements, we test if traits can be predicted through visible morphological features by coupling heterogeneous photographs from citizen science (iNat...

Descripción completa

Detalles Bibliográficos
Autores principales: Schiller, Christopher, Schmidtlein, Sebastian, Boonman, Coline, Moreno-Martínez, Alvaro, Kattenborn, Teja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361087/
https://www.ncbi.nlm.nih.gov/pubmed/34385494
http://dx.doi.org/10.1038/s41598-021-95616-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361087/
https://www.ncbi.nlm.nih.gov/pubmed/34385494
http://dx.doi.org/10.1038/s41598-021-95616-0

Ejemplares similares