Food security is a global challenge and is impacted by, rapidly compounding effects including climate change, supply chains, human labour shortages, driving the need for traceability, and technological innovation and automation to name a few. The latest important price increases of agricultural row products show the limitations of the available resources. Through this Joint Undertaking, the AGRARSENSE consortium of 57 partners (including 4 affiliates) plan to take agricultural technology and productivity to the next level, beyond the State-of-the-Art, by combining some of the most advanced organisational capabilities from across European industrial 16 Large Enterprises, 25 SMEs and 16 Research & Technology Organisations (RTOs), from 15 countries. The development of the most advanced sensory and autonomous agricultural capabilities requires a sophisticated governance structure, ensuring that all partners are aligned across Use Cases and Work Package deliveries. The AGRARSENSE consortium has one of the world’s leaders in Forestry automation, Komatsu, as Project Coordinator. The AGRARSENSE project goal of creating a holistic ecosystem of sensory and automated capabilities will further extend Europe’s lead in optimizing and securing agricultural value chains. To drive such an ambitious impact agenda, we have selected seven Use Cases which will, collectively, contribute to solving the challenges outlined. These Use Cases are Greenhouses (UC1), Vertical Farming (UC2), Precision Viticulture (UC3), Agri robotics (UC4), Autoforest (UC5), Organic Soils & Fertilizers (UC6) and Water (UC7). These Use Cases are fused together by the most advanced hardware, software and system integration technologies, which will drive new solutions for partners and the collective AGRARSENSE impacts at scale.

Critical minerals and elements are highly significant for Europe's economy, particularly within strategic sectors. However, the demand for new, often essential materials conflicts with the decreasing activity in primary raw material mining. As a result, there is an impending need to fulfil these demands within European borders, reducing reliance on third countries. This was recently reflected in the European Raw Materials Act as a clear necessity from the EU, being a potential solution the use of green and non-invasive technologies to recover and refine CRMs. Besides this, it is known that the reserves and productions of mineral resources in Slovakia are mainly located in Kosice region (46% Slovak geological reserves), thereby, enhanced networking and positioning activities between TUKE and the top-class leading research institutions are needed in order to close the still apparent research and innovation gap within the EU. Furthermore, TUKE is a distinguished mining university and serves as the primary reference centre within Slovakia, which will be boosted and reinforced in three main strategy lines through several learning tools and materials. These will be focused on: 1) exploration, recovery and mining monitoring exploitation, 2) capacity to drive sustainability, circularity and social assessment 3) Strengthening TUKE’s research management & coordination capacities, and administrative skills. The WIDEX implementation will include the creation of a new cluster in Central Europe, an excellent Virtual Centre, as well as a Stakeholder platform around the green and non-invasive technologies ecosystem, and a WIDEX’s WHITEBOOK based on the lessons learned.

In the face of a rapidly advancing digital healthcare terrain, the DTRIP4H project emerges as a momentous effort to revolutionize predictive, preventive, personalized, and participatory health paradigms within the EU. Amid significant incidence of chronic conditions and cancer, there is a pressing need for a proactive shift in health strategies. Yet, the full potential of European research infrastructures (RIs) is curtailed by investment deficits, fragmentation, and the intricacies of data management. Digital Twin (DT) technology introduces a new age of precision by enabling sophisticated simulations and analyses of intricate biological processes. In DTRIP4H, we start a new initiative in Europe “decentralized health digital twin ecosystem consisting of RIs”. Using DTs, we aim to resolve critical challenges around data harmonization, equitable access, and stringent privacy safeguards. Incorporating technologies such as federated learning, Generative AI, and Virtual Reality (VR), the project aspires to create a decentralized digital twin environment (DDTE). This will empower both internal and external RI users, such as researchers, innovators, and SMEs, to craft DT applications that address specific scientific challenges, utilizing a blend of real-world and synthetic data in compliance with regulatory frameworks, i.e. GDPR. We will develop 7 innovative proof of concept thematic health-related Use cases fulfilling the needs of scientists, SMEs, and industrial end users, particularly in health topics related to cancer treatment, drug development, human environmental exposome, precision treatment for schizophrenia and personalized medicine through Artificial Intelligence (AI), AR/VR empowered DTs utilizing DDTE, while adhering to FAIR data principles. DTRIP4H adopts a human-centric methodology to elevate research efficacy, narrow the skills gap, and align with the objectives of the European Research Area (ERA) and the Sustainable Development Goals (SDGs) by 2030.

The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in, are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies' assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenanance.