Home Communication News Back New search Date Min Max Aeronautics Automotive Corporate Cybersecurity Defense and Security Financial Healthcare Industry Intelligent Transportation Systems Digital Public Services Services Space Industry At Fruit Attraction, GMV presents examples of how it’s using AI to drive digital transformation in the agricultural sector 11/10/2023 Print Share GMV was an active participant in the round-table discussion organized by AMETIC on the subject of “Artificial intelligence at the service of a sustainable agrifood sector,” held as part of the Fruit Attraction event. The trade fair was a key milestone in the exploration of how technological innovation, especially artificial intelligence (AI), can bring about major change across the value chain of the agrifood sector, making it more sustainable and efficient. Almudena Nieto de Castro, in charge of business development for GMV’s industry sector, highlighted the crucial importance of funding and grants in accelerating the digitalization of this strategic sector for Spain. One notable example of this synergy is the AgrarIA project, led by GMV and funded through the R&D Missions in Artificial Intelligence Program of the State Secretariat for Digitalization and Artificial Intelligence (SEDIA) of the Ministry of Economic Affairs and Digital Transformation, corresponding to the funds of the Recovery, Resilience and Transformation Plan. This project reflects GMV’s vision of using AI as a driving force to improve productivity, sustainability, and competitiveness in agriculture and the food sector. Through AgrarIA, GMV is working to develop cutting-edge solutions that will enable more efficient management of agricultural resources and more informed decision-making. The funding provided through SEDIA offers key support for the ability of all the partners involved in the project to innovate and carry out pioneering research in this field. These use cases include satellite image management to calculate crop capacities, the application of quantum computing to satellite image management to predict crop performance through machine learning, autonomous robotics to optimize agricultural production, the development of biopesticides and the distribution thereof through drones and precise positioning, as well as the use of artificial vision in product recognition and sorting in supermarkets, among other applications. Print Share Related Industry AgriTech Expo 26 Nov - 28 Nov Industry The future of sustainability, artificial intelligence, and defense 21 Nov 9:00 a.m. to 1:00 p.m. Industry Living Lab ALIA 26 Nov 10:30 a.m. - 2:00 p.m.