Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

Machine learning (ML) has great potential to drive scientific discovery by harvesting data from images of herbarium specimens—preserved plant material curated in natural history collections—but ML techniques have only recently been applied to this rich resource. ML has particularly strong prospects...

Descripción completa

Detalles Bibliográficos
Autores principales: Pearson, Katelin D, Nelson, Gil, Aronson, Myla F J, Bonnet, Pierre, Brenskelle, Laura, Davis, Charles C, Denny, Ellen G, Ellwood, Elizabeth R, Goëau, Hervé, Heberling, J Mason, Joly, Alexis, Lorieul, Titouan, Mazer, Susan J, Meineke, Emily K, Stucky, Brian J, Sweeney, Patrick, White, Alexander E, Soltis, Pamela S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Biologist's Toolbox
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340542/
https://www.ncbi.nlm.nih.gov/pubmed/32665738
http://dx.doi.org/10.1093/biosci/biaa044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340542/
https://www.ncbi.nlm.nih.gov/pubmed/32665738
http://dx.doi.org/10.1093/biosci/biaa044

Ejemplares similares