Essential Biodiversity Variables: extracting plant phenological data from specimen labels using machine learning

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@article{2f739e9d2aea4c2caa9c7a4ad659c4ea,

title = "Essential Biodiversity Variables: extracting plant phenological data from specimen labels using machine learning",

author = "Maria Mora-Cross and Adriana Morales-Carmiol and Te Chen-Huang and Mar{\'i}a Barquero-P{\'e}rez",

year = "2022",

month = aug,

day = "23",

doi = "10.3897/rio.8.e86012",

language = "Indefinido/desconocido",

journal = "Research Ideas and Outcomes",

}

TY - JOUR

T1 - Essential Biodiversity Variables: extracting plant phenological data from specimen labels using machine learning

AU - Mora-Cross, Maria

AU - Morales-Carmiol, Adriana

AU - Chen-Huang, Te

AU - Barquero-Pérez, María

PY - 2022/8/23

Y1 - 2022/8/23

UR - https://doi.org/10.3897/rio.8.e86012

U2 - 10.3897/rio.8.e86012

DO - 10.3897/rio.8.e86012

M3 - Artículo

JO - Research Ideas and Outcomes

JF - Research Ideas and Outcomes

ER -