TinyML Grasshopper Classifier
Enabling Non-Invasive Biodiversity Monitoring
Description
Utilizing AI for the classification of insect sounds, particularly those of grasshoppers, is a promising method to monitor biodiversity non-invasively in the field. Our project focuses on the development and implementation of a sustainable TinyML model. This model aims to efficiently classify grasshopper species based on their songs in real-time on a microcontroller with minimal computational resources.
Key Data
Projectlead
Deputy Projectlead
Project status
ongoing, started 02/2024
Funding partner
ZHAW digital / Digital Futures Fund
