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AI-powered BirdNET app makes citizen science easier
The free machine-learning powered tool can identify more than 3,000 birds by sound alone, generates reliable scientific data and makes it easier for people to contribute citizen-science data on birds by simply recording sounds.
United states
Arthur vining davis
Stefan kahl
Jake holshuh
Connor wood
Cornell lab of ornithology
K lisa yang center
Yang center
German federal ministry of education
European union
European social fund for germany
Conservation bioacoustics
Cornell lab
Machine learning powered
Reduces barriers
Global bird research
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