ChirpNet: AI Grasshopper Biodiversity Monitoring (ChirpNet)
Description
We are developing a cutting-edge Deep Learning model tailored to efficiently classify Orthoptera (grasshoppers) sounds captured by smartphones in outdoor settings.
This advancement promises rapid and sustainable biodiversity monitoring through citizen science initiatives.
Key Data
Projectlead
Deputy Projectlead
Project team
Project status
ongoing, started 06/2024
Institute/Centre
Institute of Computational Life Sciences (ICLS); Institute of Natural Resource Sciences (IUNR)
Funding partner
ZHAW digital / Digital Futures Fund
Project budget
20'000 CHF
