We have collected large amounts of data in the agri-food domain with all kinds of sensors (substitutions for manual observations) but still need the digitalization of processes, where information is interconnected, shared, and processed into information. The goal is to improve the efficiency of the agri-food system, while at the same time improve overall sustainability and facilitate the Green Transition. The main challenge for the agri-food businesses in a strongly digitalized environment is how to design robust and economically viable farm/food business models, which also produce environmental and social benefits. Innovation through digitalization can be incremental, allowing the evolution of traditional farm/food business models, or disruptively, through triggering the creation of brand-new models or the recovery of abandoned, old ones, which are enabled by the new digital technologies.
We need to: improve data processing/data sharing as the basis for improved decision making, converge technologies, use digitalization to create awareness about sustainable food production by quantifying indicators for sustainability, improve interoperability, standards, semantics, and user adoption. This calls for a more interdisciplinary approach that address how do humans interact with technology. Change of minds on how digitalization work with production system must be developed, and implementation of digitalized systems, with more focus on a total system perspective.