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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Vydáno v:Bioscience
Hlavní autoři: 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
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2020
Témata:
Biologist's Toolbox
On-line přístup: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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