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    Flexible IntelligenT NEar-field Sensing Skins
    The FITNESS project will realize flexible smart skins able to provide a non-contact sense of “touch”. The envisioned smart skins will operate at microwave frequencies, and the same device will also allow far-field communication. The key technology enabling these functionalities is that of metasurfaces, i.e. structured surfaces that have unusual properties at some frequencies. In this case, they convey and manipulate surface waves, which also can be turned into radiating leaky waves for far-field communications. The research follows a holistic and multidisciplinary concept targeting thin smart skins: the FITNESS project encompasses the synthesis of new low-loss flexible microwave substrates, research on the embedded electronics, the analysis and design of metasurfaces on curved structures and data analysis. The first demonstrator will be realized in the field of robotics, while later applications are envisioned in the medical area. Therefore, FITNESS will integrate ultra-low power operation from the beginning. The devices will essentially work through the measurement of the transmittance between a limited number of ports (sparse electronics), through surface waves following the shape of the smart skin which is wrapped around the robot or the body. The workpackages follow the main challenges toward the new technology: sparse, curved, integrated and flexible metasurfaces. One of the main societal outputs will consist of a more harmonious cooperation between robots and humans through the constant probing of their respective near-field environments.
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    Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory
    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 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.
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