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ChirpNet: AI Grasshopper Biodiversity Monitoring

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 promisesrapid and sustainable biodiversity monitoring through citizen science initiatives.

Key Data

Projectlead

Deputy Projectlead

Project team

Project status

ongoing, started 06/2024

Funding partner

ZHAW digital / Digital Futures Fund

Project budget

20'000 CHF