The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
Connor M Wood,
Stefan Kahl,
Ashakur Rahaman and
Holger Klinck
PLOS Biology, 2022, vol. 20, issue 6, 1-6
Abstract:
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.Involving the general public in research through free bird sound identification apps such as BirdNET can generate tens of millions of bird observations globally, helping citizen science to power avian ecology
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3001670 (text/html)
https://journals.plos.org/plosbiology/article/file ... 01670&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pbio00:3001670
DOI: 10.1371/journal.pbio.3001670
Access Statistics for this article
More articles in PLOS Biology from Public Library of Science
Bibliographic data for series maintained by plosbiology ().