Project description
AI-based soil health assessment tools put to the test
The European Commission has set an ambitious goal of transitioning towards healthy soils by 2030. As such, it is important to assess and monitor soil health metrics. The EU-funded AI4SoilHealth project will co-design, create and maintain an open access Europe-wide digital infrastructure founded on advanced AI methods combined with new and deep soil health understanding and measures. The AI-based data infrastructure will evolve a Soil Digital Twin. The project will deliver a coherent Soil Health Index methodology, Rapid Soil Health Assessment Toolbox, AI4SoilHealth Data Cube for Europe, Soil-Health-Soil-Degradation-Monitor, and AI4SoilHealth API and mobile phone app. AI4SoilHealth will test the tools, collecting feedback from target users.
Objective
The objective of AI4SoilHealth is to co-design, create and maintain an open access European-wide digital infrastructure, compiled using state-of-the-art Artificial Intelligence (AI) methods combined with new and deep soil health understanding and measures. The AI-based data infrastructure functions as a Digital Twin to the real-World biophysical system, forming a Soil Digital Twin. This can be used for assessing and continuously monitoring Soil Health metrics by land use and/or management parcel, supporting the Commission’s objective of transitioning towards healthy soils by 2030.
The project is divided into seven (7) work-packages including: (WP2) Policy and stakeholder engagement - networking and synchronising with EU and national programmes, (WP3) Soil health methodology and standards - developing/testing methodology to be used by WPs 4-6, (WP4) Soil health in-situ monitoring tools and data - developing field and laboratory solutions for Observations & Measurements, (WP5) Harmonised EU-wide soil monitoring services - developing the final suite of tools, data and services, (WP6) Multi-actor engagement pilots - organizing field-works and collect users' feedback, (WP7) Soil literacy, capacity building and communication - organizing public campaigns and producing educational materials.
Key deliverables include: 1) Coherent Soil Health Index methodology, 2) Rapid Soil Health Assessment Toolbox, 3) AI4SoilHealth Data Cube for Europe, 4) Soil-Health-Soil-Degradation-Monitor, and 5) AI4SoilHealth API and Mobile phone App. Produced tools will be exposed to target-users (including farmer associations in >10 countries), so their feedback is used to improve design/functionality. Produced high-resolution pan-European datasets will be distributed under an Open Data license, allowing easy access by development communities. AI4SoilHealth will provide an effective Soil Health Index certification system to support landowners and policy makers under the new Green Deal for Europe.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
8000 Aarhus C
Denmark
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Participants (22)
10360 Sesvete Grad Zagreb
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2462 Martonvasar
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10719 Berlin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
2011 VK Haarlem
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
38116 Braunschweig
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10000 Zagreb
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21073 Hamburg
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10000 Zagreb
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10691 Stockholm
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6865 HK DOORWERTH
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00790 Helsinki
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2361 Laxenburg
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546 36 THESSALONIKI
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9220 Aalborg
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Participation ended
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80539 Munchen
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48160 Vizcaya
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00187 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75007 Paris
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75006 Paris
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00154 Roma
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3067 DM Rotterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (7)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8092 Zuerich
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
3012 Bern
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8134 Adliswil
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
OX10 8BB Oxford
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
AB24 3FX Aberdeen
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
BS1 6AD Bristol
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
4051 Basel
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