Using Convolutional Neural Networks to Efficiently Extract Immense Phenological Data From Community Science Images

Community science image libraries offer a massive, but largely untapped, source of observational data for phenological research. The iNaturalist platform offers a particularly rich archive, containing more than 49 million verifiable, georeferenced, open access images, encompassing seven continents a...

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Detalles Bibliográficos
Autores principales: Reeb, Rachel A., Aziz, Naeem, Lapp, Samuel M., Kitzes, Justin, Heberling, J. Mason, Kuebbing, Sara E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801702/
https://www.ncbi.nlm.nih.gov/pubmed/35111176
http://dx.doi.org/10.3389/fpls.2021.787407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8801702/
https://www.ncbi.nlm.nih.gov/pubmed/35111176
http://dx.doi.org/10.3389/fpls.2021.787407

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