Think of the soil as a giant city filled with tiny workers like fungi and bacteria that keep the land healthy. This work maps out which 'workers' do which jobs and how they react to climate change. By using AI, it turns complex biological data into a clear price tag, showing exactly how much value these tiny organisms add to the land.
Companies and land managers cannot accurately measure or price the biological value of soil, making it difficult to justify investments in soil restoration or climate resilience.
AI-powered computational tools for predicting soil function and a system for the economic valuation of soil ecosystem services.
If you are a consultancy dealing with declining crop yields and soil degradation — this project developed digital decision-support tools that identify key soil organisms to help design climate resilient management practices.
If you are a firm dealing with mandatory land restoration after mining — this project developed indicators and monitoring tools for 8 different land uses to ensure soil functions are actually restored.
If you are a fund dealing with the difficulty of pricing natural assets — this project developed an economic valuation method to translate biophysical soil values into financial language to foster investments.
Based on available project data, there is no specific pricing mentioned as the project is currently in the research and development phase.
Yes, the project uses AI and machine learning to upscale results from 25 experimental sites to the landscape level across 5 biogeographic regions.
Based on available project data, the project follows open science principles, but specific licensing terms for the computational tools are not provided.
The project aims to provide data on soil health and ecosystem functions to influence the update of EU and National legislations.
The project period runs from 2023-09-01 to 2028-08-31, suggesting tools will be finalized by August 2028.
The consortium is well-balanced for technology transfer, featuring 22 partners with a 27% industry ratio (6 companies, including 3 SMEs). The mix of 7 universities and 8 research organizations ensures deep scientific rigor, while the inclusion of consulting SMEs suggests a focus on practical, market-ready application of the soil indicators.
Contact the Universidad Politecnica de Cartagena
Contact us to connect with the BIOservicES consortium for early access to soil valuation tools.
