Maximizing citizen scientists’ contribution to automated species recognition

Technological advances and data availability have enabled artificial intelligence-driven tools that can increasingly successfully assist in identifying species from images. Especially within citizen science, an emerging source of information filling the knowledge gaps needed to solve the biodiversit...

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Detalles Bibliográficos
Autores principales: Koch, Wouter, Hogeweg, Laurens, Nilsen, Erlend B., Finstad, Anders G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090737/
https://www.ncbi.nlm.nih.gov/pubmed/35538130
http://dx.doi.org/10.1038/s41598-022-11257-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9090737/
https://www.ncbi.nlm.nih.gov/pubmed/35538130
http://dx.doi.org/10.1038/s41598-022-11257-x

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