The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation-Reference-Cited by-同舟云学术

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

Published:2022-06-28 Issue:6 Volume:20 Page:e3001670
ISSN:1545-7885
Container-title:PLOS Biology
language:en
Short-container-title:PLoS Biol

Author:

Wood Connor M.^ORCID,Kahl Stefan,Rahaman Ashakur,Klinck Holger

Funder

Jake Holshuh

Arthur Vining Davis Foundations

European Union

European Social Fund for Germany

Cornell Lab of Ornithology

Bundesministerium für Bildung und Forschung

Technische Universität Chemnitz

Publisher

Public Library of Science (PLoS)

Subject

General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Reference11 articles.

1. BirdNET: A deep learning solution for avian diversity monitoring;S Kahl;Eco Inform,2021

2. Smartphone technologies supporting community-based environmental monitoring and implementation: a systematic scoping review;M Andrachuk;Biol Conserv,2019

3. Continent-wide Shifts in Song Dialects of White-Throated Sparrows;KA Otter;Curr Biol,2020

4. A review of the distribution of Yellowhammer (Emberiza citrinella) dialects in Europe reveals the lack of a clear macrogeographic pattern;T Petrusková;J Ornithol,2015

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A post‐processing framework for assessing BirdNET identification accuracy and community composition;Ibis;2024-09-12

2. Shazam for birds;Proceedings of the National Academy of Sciences;2024-08-26

3. Using automated passive acoustic monitoring to measure changes in bird and bat vocal activity around hedgerows of different ages;Biological Conservation;2024-08

4. Consistent and scalable monitoring of birds and habitats along a coffee production intensity gradient;2024-07-16

5. Evaluation of an autonomous acoustic surveying technique for grassland bird communities in Nebraska;PLOS ONE;2024-07-05