Imagine a robot that acts like a mobile laboratory, driving across a field to test soil chemistry and hardness on the spot. It combines these ground-level tests with satellite images to create a high-definition map of the land. This helps farmers know exactly where to put seeds or fertilizer instead of treating the whole field the same way.
Current soil mapping is too expensive and complex for most farmers. This prevents the precise application of nutrients and hinders the verification of carbon storage for environmental credits.
An autonomous robotic platform equipped with NIR sensors, a sampling drill, and an in-situ chemical analysis chamber, integrated with a Copernicus-based AI mapping engine.
If you are an agri-service provider dealing with high costs of manual soil sampling — this project developed a robotic sensing toolbox and AI mapping engine that reduces laboratory and labour costs.
If you are a carbon farming consultant dealing with difficult proof of soil carbon storage — this project developed a carbon farming MRV application that provides high-resolution soil property maps for compliance.
If you are a machinery manufacturer dealing with low adoption of precision tools — this project developed demand-driven application maps for variable-rate liming, fertilisation, and seeding to increase farmer productivity.
The system uses autonomous robots and a 'Lab in the Field' chamber for in-situ analysis, which reduces the need for expensive manual sampling and external laboratory processing.
Based on available project data, the project is testing the system across 7 use cases in different European regions using autonomous robotic platforms to increase productivity.
Based on available project data, the project aims for results to be commercialised by the end of the project, involving 7 SMEs in the value chain.
Yes, it provides compliancy proof for eco schemes and supports carbon farming MRV (Monitoring, Reporting, and Verification).
The project period runs until 2027-07-31, with a goal to ensure results can be commercialised by the project end.
The consortium is heavily market-oriented with a 58% industry ratio, comprising 7 industrial partners and 5 SMEs. This structure, combined with 8 countries involved, suggests a strong focus on commercial viability and regional scalability rather than pure academic research.
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