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...

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Detalhes bibliográficos
Publicado no:Bioscience
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Biologist's Toolbox
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7340542/
https://ncbi.nlm.nih.gov/pubmed/32665738
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biosci/biaa044
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