BirdWeather

Identify and classify over 6,000 bird species in real-time using a portable, weatherproof recorder and cloud-based automatic processing.
Environmental Monitoring Wildlife Conservation Citizen Science Platform

BirdWeather is an all-purpose platform for monitoring and analyzing bird sounds around the world. It uses the BirdNET neural network, created by the Cornell Lab of Ornithology and the Chemnitz University of Technology, to identify and classify more than 6,000 bird species. The platform features a web-based dashboard and mobile app where users can explore real-time data and participate in the global citizen science project.

Some of the key features include:

  • PUC: A portable, weatherproof recorder that records bird sounds 24/7, with dual microphones, GPS and environmental sensors.
  • Automatic Processing: Cloud server processes PUC soundscapes, removing human voice detections and identifying species.
  • Real-time Data: Users can access and explore bird calls from around the world on the web dashboard and mobile app.
  • Environmental Sensors: PUC includes temperature, humidity, pressure, air quality and light sensors to monitor local weather conditions.
  • Mobile App: Full power of BirdNET for birding on the go.
  • Web Dashboard: Explore and listen to bird calls, with a focus on backyard and mobile birding.
  • Research Applications: Data is stored in simple CSV format for easy import into research projects.

BirdWeather is geared for both casual birdwatchers and researchers. The platform is intended to help people better understand ecosystems and how environmental changes affect them. By monitoring bird populations automatically and continuously, users can contribute to a better understanding of their local and global impact on the environment.

The prices above reflect a 10% summer sale that can be redeemed with the code PUC10 at checkout.

Published on July 6, 2024

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