Imagine having a digital ear and eye in the field that can tell exactly which birds and bugs are present without a human needing to be there. It uses sound recordings and DNA traces in the soil to check if a farm is actually healthy. This helps turn nature conservation into a measurable service that farmers can be paid for.
Farmers struggle to prove their biodiversity gains to receive government payments because manual monitoring is too slow and expensive. There is a lack of automated, reliable tools to measure nature recovery at the farm level.
An automated monitoring suite including acoustic sensors for birds/insects, eDNA soil testing, and a WebGIS data platform integrated with Azure.
If you are a manufacturer dealing with the need for verifiable sustainability metrics — this project developed automated optical and acoustic sensors that provide real-time biodiversity data. This allows your customers to prove their environmental impact automatically.
If you are a certification body dealing with expensive and slow manual field surveys — this project developed eDNA metabarcoding and automated monitoring that speeds up soil-health assessments. This reduces the cost of auditing farms for biodiversity compliance.
If you are a software provider dealing with a lack of objective ecological data for farmers — this project developed a WebGIS system with Azure integration. This enables the integration of biodiversity maps directly into farm management dashboards.
Based on available project data, specific pricing or cost structures for the sensors and software are not provided.
Yes, the system is being tested and validated across 5 European regions and 1 region in Peru using a grid-based sampling design aligned with EU standards.
Based on available project data, there is no specific information regarding IP ownership or licensing terms.
It supports the implementation of result-based agricultural programs and the EU 2030 Biodiversity and Farm to Fork Strategies by providing measurable biodiversity indicators.
The project has developed a WebGIS system with large-scale data migration to Azure and a public-facing platform for spatial coordinates.
The consortium is research-heavy with 10 research institutes and 8 universities, but it maintains a practical edge with 3 industry partners and 5 SMEs. With 26 partners across 11 countries, the project has high geographic validation, ensuring the tools work across diverse agro-ecological zones from Europe to Peru.
Contact the Leibniz-Institut zur Analyse des Biodiversitatswandels in Germany
Contact us to find licensing opportunities for the automated biodiversity sensors.
