An algorithm competition for automatic species identification from herbarium specimens

PREMISE: Plant biodiversity is threatened, yet many species remain undescribed. It is estimated that >50% of undescribed species have already been collected and are awaiting discovery in herbaria. Robust automatic species identification algorithms using machine learning could accelerate species d...

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Библиографические подробности
Опубликовано в: :Appl Plant Sci
Главные авторы: Little, Damon P., Tulig, Melissa, Tan, Kiat Chuan, Liu, Yulong, Belongie, Serge, Kaeser‐Chen, Christine, Michelangeli, Fabián A., Panesar, Kiran, Guha, R.V., Ambrose, Barbara A.
Формат: Artigo
Язык:Inglês
Опубликовано: John Wiley and Sons Inc. 2020
Предметы:
Application Articles
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7328655/
https://ncbi.nlm.nih.gov/pubmed/32626608
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/aps3.11365
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