这款基于机器学习的 BirdNET App 通过促进公民科学参与，降低了全球鸟类研究的门槛。
The machine learning-powered BirdNET App reduces barriers to global bird research by enabling citizen science participation.
机构信息
K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, Ithaca, New York, United States of America.
出版信息
PLoS Biol. 2022 Jun 28;20(6):e3001670. doi: 10.1371/journal.pbio.3001670. eCollection 2022 Jun.
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.
摘要
BirdNET 应用程序是一款适用于 Android 和 iOS 的免费鸟类声音识别应用程序，其中包含超过 3000 种鸟类，它降低了公民科学的门槛，同时在全球范围内产生了数以千万计的鸟类观察数据，可用于复制鸟类生态学中的已知模式。
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