To live sustainably and have a healthy planet, we must understand how the systems which we depend on function.
Birds are a critical component of virtually every ecosystem on earth, and their fate is intertwined with ours.
BirdNET uses a neural network to identify birds by the sounds they make, and is a joint project between the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology and the Chemnitz University of Technology.
Studying birds and bird populations is a way to further our understanding of the ecosystems that support all life on earth (including humans). Changes in bird populations and their behavior can tell us a great deal about the impacts of climate change, drought, weather, and habitat change.
Using the BirdNET artificial neural network, BirdWeather is continuously listening to a growing number of citizen science stations around the globe.
With your own BirdWeather station, you're not only contributing to the global community, you can identify and track the species in your own backyard!
Our open approach supports a growing list of ways to participate.
Since going live on Nov 4, 2021 we've heard
... different species vocalize ... times across ... locations.
We’re excited to introduce PUC (Physical Universe Codec) - our AI powered bioacoustics platform. Packed with dual microphones, WiFi/BLE, GPS, environmental sensors, and a built-in neural engine, all in a weatherproof enclosure, PUC is ready to capture all that nature can throw at it!
(Shipping Q1 2023)