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

Abstract 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 scie...

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Autores principales: Christopher Schiller, Sebastian Schmidtlein, Coline Boonman, Alvaro Moreno-Martínez, Teja Kattenborn
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/107cbdaa3c7241659a83173551fcdcc3
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