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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "birdnetR" in publications use:'
type: software
license: MIT
title: 'birdnetR: Deep Learning for Automated (Bird) Sound Identification'
version: 0.3.2.9000
doi: 10.32614/CRAN.package.birdnetR
abstract: Use 'BirdNET', a state-of-the-art deep learning classifier, to automatically
  identify (bird) sounds. Analyze bioacoustic datasets without any computer science
  background using a pre-trained model or a custom trained classifier. Predict bird
  species occurrence based on location and week of the year. Kahl, S., Wood, C. M.,
  Eibl, M., & Klinck, H. (2021) <https://doi.org/10.1016/j.ecoinf.2021.101236>.
authors:
- family-names: Günther
  given-names: Felix
  email: felix.guenther@informatik.tu-chemnitz.de
- family-names: Kahl
  given-names: Stefan
  email: stefan.kahl@cornell.edu
- family-names: Team
  given-names: BirdNET
repository: https://birdnet-team.r-universe.dev
repository-code: https://github.com/birdnet-team/birdnetR
commit: 0dc11e81175d6646a0d1558486a2e2f5e543fd05
url: https://birdnet-team.github.io/birdnetR/
date-released: '2026-05-22'
contact:
- family-names: Günther
  given-names: Felix
  email: felix.guenther@informatik.tu-chemnitz.de