ChirpNet: AI Grasshopper Biodiversity Monitoring
Beschreibung
We are developing a cutting-edge Deep Learning model tailored to efficiently classify Orthoptera (grasshoppers) sounds captured by smartphones in outdoor settings. This advancement promisesrapid and sustainable biodiversity monitoring through citizen science initiatives.
Eckdaten
Projektleitung
Stellv. Projektleitung
Projektteam
Projektstatus
laufend, gestartet 06/2024
Institut/Zentrum
Institut für Computational Life Sciences (ICLS); Institut für Umwelt und Natürliche Ressourcen (IUNR)
Drittmittelgeber
ZHAW digital / Digital Futures Fund
Projektvolumen
20'000 CHF
