About BirdWeather

What is BirdWeather?
BirdWeather is a pioneering visualization platform that harnesses the BirdNET artificial neural network to monitor bird vocalizations globally through 2000 active audio stations (and growing).  The platform acts as a comprehensive, evolving digital repository, accessible via a user-friendly map interface that showcases real-time data integration. Equipped with advanced bioacoustic technologies such as the BirdWeather PUC—featuring environmental sensors and a neural engine in a weatherproof enclosure—BirdWeather facilitates easy recording and automatic cloud processing of bird sounds, aiding conservation efforts and ecological studies. By analyzing bird population behaviors and changes, BirdWeather provides valuable insights into environmental shifts, engaging the public in global citizen science initiatives through its web dashboard and mobile app

What is BirdNET? (From the BirdNET site)
BirdNET is a joint research project between The Cornell Lab of Ornithology and the Chemnitz University of Technology that is “mainly focused on the detection and classification of avian sounds using machine learning … [with the aim to] assist experts and citizen scientist in their work of monitoring and protecting our birds.
BirdNET is a research platform that aims at recognizing birds by sound at scale. We support various hardware and operating systems such as Arduino microcontrollers, the Raspberry Pi, smartphones, web browsers, workstation PCs, and even cloud services. BirdNET is a citizen science platform as well as an analysis software for extremely large collections of audio. BirdNET aims to provide innovative tools for conservationists, biologists, and birders alike.”Read more about BirdNET at: https://birdnet.cornell.edu/

Questions?  email - tim@birdweather.com