Title: The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation.
Authors: Wood, Connor M.; Kahl, Stefan; Rahaman, Ashakur; Klinck, Holger
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
Subjects: CITIZEN science; BIRD ecology; MOBILE apps
Publication: PLoS Biology, 2022, Vol 20, Issue 6, p1
ISSN: 1544-9173
Publication type: Academic Journal
DOI: 10.1371/journal.pbio.3001670

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