The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation

The BirdNET App, a free bird sound identification app for Android and iOS that includes over 3,000 bird species, reduces barriers to citizen science while generating tens of millions of bird observations globally that can be used to replicate known patterns in avian ecology.

Detalles Bibliográficos
Autores principales: Wood, Connor M., Kahl, Stefan, Rahaman, Ashakur, Klinck, Holger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Community Page
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239458/
https://www.ncbi.nlm.nih.gov/pubmed/35763486
http://dx.doi.org/10.1371/journal.pbio.3001670
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author Wood, Connor M.
Kahl, Stefan
Rahaman, Ashakur
Klinck, Holger
author_facet Wood, Connor M.
Kahl, Stefan
Rahaman, Ashakur
Klinck, Holger
author_sort Wood, Connor M.
collection PubMed
description The BirdNET App, a free bird sound identification app for Android and iOS that includes over 3,000 bird species, reduces barriers to citizen science while generating tens of millions of bird observations globally that can be used to replicate known patterns in avian ecology.
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spelling pubmed-92394582022-06-29 The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation Wood, Connor M. Kahl, Stefan Rahaman, Ashakur Klinck, Holger PLoS Biol Community Page The BirdNET App, a free bird sound identification app for Android and iOS that includes over 3,000 bird species, reduces barriers to citizen science while generating tens of millions of bird observations globally that can be used to replicate known patterns in avian ecology. Public Library of Science 2022-06-28 /pmc/articles/PMC9239458/ /pubmed/35763486 http://dx.doi.org/10.1371/journal.pbio.3001670 Text en © 2022 Wood et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Community Page
Wood, Connor M.
Kahl, Stefan
Rahaman, Ashakur
Klinck, Holger
The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
title The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
title_full The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
title_fullStr The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
title_full_unstemmed The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
title_short The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
title_sort machine learning–powered birdnet app reduces barriers to global bird research by enabling citizen science participation
topic Community Page
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239458/
https://www.ncbi.nlm.nih.gov/pubmed/35763486
http://dx.doi.org/10.1371/journal.pbio.3001670
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