The agrifood sector is one of the most important in Europe, not only because of its contribution to the economy, but also because of its relevance for rural areas, preservation of the environment or impact on citizens’ health. As many other industrial sectors, in the last years it has been increasingly adopting digital technologies. Many challenges still exist in its data-driven transformation, but it is very important that ongoing efforts are recognized and used as baseline for future developments. Large scale deployments of IoT devices have produced a vast amount of data; data models of the domain have been extended, and progress has been made in terms of data sharing and digital platforms for data integration and analytics. In addition, advances in robotics, image recognition and other disciplines are paving the way towards innovative AI-based applications.
This session will build on previous discussions about challenges but will focus specifically on creating awareness about the work done so far in data-related technologies for the agrifood domain. This concept gives us the opportunity to create links between different approaches, initiatives and projects working in the domains of big data, IoT and AI. Furthermore, we want to avoid a discussion focused exclusively in technology, as seen and “sold” by technologists. The session will give voice to the farmers and will drive a lively discussion that will undoubtedly inspire and help all the participants involved or interested in the agrifood sector.