Cargando…
Toward a large‐scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras
PREMISE OF THE STUDY: Phenological annotation models computed on large‐scale herbarium data sets were developed and tested in this study. METHODS: Herbarium specimens represent a significant resource with which to study plant phenology. Nevertheless, phenological annotation of herbarium specimens is...
Autores principales: | Lorieul, Titouan, Pearson, Katelin D., Ellwood, Elizabeth R., Goëau, Hervé, Molino, Jean‐Francois, Sweeney, Patrick W., Yost, Jennifer M., Sachs, Joel, Mata‐Montero, Erick, Nelson, Gil, Soltis, Pamela S., Bonnet, Pierre, Joly, Alexis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6426157/ https://www.ncbi.nlm.nih.gov/pubmed/30937225 http://dx.doi.org/10.1002/aps3.1233 |
Ejemplares similares
-
Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest
por: Goëau, Hervé, et al.
Publicado: (2022) -
Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research
por: Pearson, Katelin D, et al.
Publicado: (2020) -
Going deeper in the automated identification of Herbarium specimens
por: Carranza-Rojas, Jose, et al.
Publicado: (2017) -
A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction
por: Goëau, Hervé, et al.
Publicado: (2020) -
Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus
por: Love, Natalie L. R., et al.
Publicado: (2021)