GreenFit is a collaborative project uniting research institutions, technology developers, agricultural practitioners, and field actors to tackle the barriers limiting farmers from adopting climate-smart practices. Through a combination of advanced technologies such as AI-powered decision support systems, IoT sensors, and XR-based training tools, GreenFit focuses on optimizing resource use, enhancing decision-making, and building resilience to climate change. The project also promotes value-chain partnerships and strengthens digital infrastructure, ensuring scalability and sustainability. Through the use of real-time tools, including the LLM-based AgriChatbot and a drone-in-a-box system for soil analysis and crop health monitoring, GreenFit empowers farmers with the practical, innovative solutions needed to transition toward sustainable practices. GreenFit focuses on capacity building and community-driven dissemination, communication, and exploitation, as through hands-on training, workshops, and stakeholder engagement, it empowers local communities to adopt and sustain climate-smart practices. The project’s capacity-building program and knowledge-sharing platforms ensure that farmers and rural stakeholders are actively involved in the development process. GreenFit's community-led approach enhances local ownership of solutions, driving sustained environmental and economic benefits.

The overall objective of ATLAS is the development of an open digital service platform for agricultural applications and to build up a sustainable ecosystem for innovative data-driven agriculture using the platform. The platform will allow the flexible combination of agricultural machinery, sensor systems and data analysis tools to overcome the problem of lacking interoperability and to enable farmers to increase their productivity in a sustainable way by making use of the most advanced digital technology and data. The platform will define a service architecture providing hardware- and software-interoperability layers which enable the acquisition and sharing of data from a multitude of sensors and the analysis of this data using a multitude of dedicated analysis approaches. The benefits of data driven agriculture will be demonstrated using the ATLAS platform within a multitude of pilot studies. Around these pilot studies, so called "Innovation Hubs", a network of end-users, service providers, researchers and policy makers along the agricultural value chain, will be established to exploit the benefits of digital agriculture to a larger audience. Innovative companies will be attracted through seed funding to provide their services through the platform. With the knowledge created from these pilot studies, ATLAS will put significant effort into the definition of the next generation standards for data driven agriculture.