Synergies
Seeding Ideas, Harvesting Innovation
AgRibot recognizes the fertile ground for collaboration and the potential for synergies, not only within projects funded under the same theme but also across different topics, clusters, or pillars of Horizon Europe and beyond. Through joint efforts, knowledge exchange, and alignment with the European Commission’s principles, we aim to cultivate a stronger, more impactful ecosystem. By working together, we sow the seeds for innovation and grow sustainable solutions for the future of agriculture.
GET TO KNOW OUR CONNECTIONS
AGROBOOST is a pilot driven, multi-disciplinary project that aims to transform the agricultural sector into a more attractive, sustainable and efficient industry by harnessing the power of advanced robotics, AR, AI and automation revealing the societal and economic benefits for all the people working in agriculture, especially women, young professionals and farmers with moving disabilities. Through the development of cutting-edge, ground-breaking solutions, the project will improve the safety and appeal of agricultural work, reduce environmental impacts, enhance productivity and address labour shortages.
ARISE aims to realise a robotic platform that focuses on two crucial industrial sectors that can drive the European Green Deal progress, namely Energy and Agriculture. ARISE will be driven by the needs of Solar Panel installation and maintenance and the harvesting of hydroponic lettuce. It will be validated on five highly challenging Use Case Scenarios, including but not limited to, picking up and moving Solar Panels in collaboration with human workers, transplanting delicate lettuce pieces and repairing solar panel back-sheets with silicon-based sealants.
ICAERUS showcases safe and efficient drone use across agriculture, livestock, forestry, and rural logistics. The project develops tools like the ICAERUS platform, drone data library, and open-access academy, while assessing market, socio-economic, and environmental impacts. Use cases range from crop spraying and disease detection to livestock monitoring, forest health, and rural parcel delivery.
The agricultural sector faces numerous challenges, including hazardous working conditions, repetitive labor, and increasing demands from digitalisation, climate change, and economic pressures. These factors contribute to high accident rates and make the sector less appealing to younger generations. AGRO-WELL takes an interdisciplinary approach to support a sustainable transformation of agriculture by improving occupational safety and health (OSH) through innovative technologies. The project brings together experts, technology providers, and farmers from across Europe to assess needs, raise awareness of smart farming, and test five advanced technologies, such as robotics, augmented reality, and AI, to enhance working conditions, decision-making, and environmental performance in four farming systems. AGRO-WELL will also explore sustainable business models, support additional innovations through cascade funding, and deliver actionable policy recommendations. Dissemination efforts will ensure that project outcomes reach key stakeholders and contribute to long-term impact.
AgRimate addresses the critical, yet highly demanding and skilled task of pruning olive and grape crops, which directly impacts yield and quality. The project’s aim is to integrate advanced digital tools and robotics to genuinely support farmers. It plans to gather essential field data, which intelligent systems will then analyze in conjunction with expert knowledge to identify optimal pruning strategies. These insights are intended to guide farmers directly in the field, leading to a smarter, more precise approach that keeps human expertise central. Furthermore, AgRimate aims to introduce robotic assistance to reduce physical strain and automate specific tasks, with all solutions specifically designed for small-scale farmers.
The POMATO project focuses on combating the spread of quarantine pests, which threaten the health and quality of potato and tomato crops. Their goal is to safeguard the crops by developing early detection systems utilizing AI and digital predictive platforms, bio-control solutions, and Integrated Pest Management (IPM) strategies to reduce pest incidence by 40-60%.
SQAT delivers a multi-level, multi-technology soil mapping service, designed to tackle practical, technical, and financial barriers in soil analysis. By integrating in-situ sampling, sensor data, and AI-powered Copernicus-based mapping, SQAT generates high-resolution soil property maps and tailored application maps for soil improvement, crop management, and eco-scheme compliance. This seamless approach offers a flexible, market-driven alternative to existing solutions, ensuring more precise and cost-effective soil insights.