Meeting on the current status and progress of the AgrarIA project in GMV’s offices

On May 31, GMV brought together the partners of the AgrarIA project in its Madrid offices to discuss the current status and progress of the lines of work being led by each organization.

Several of GMV’s data and robotics engineers took part in the meeting, presenting the activities being carried out in relation to research into the use of artificial intelligence for agricultural production, processing, and distribution.

Organizationally, AgrarIA is a consortium comprising 24 entities including large companies, SMEs, research centers, and universities, forming a research ecosystem capable of addressing the ambitious challenges of the project by the following aspects:

• Top-level technology companies in different fields of robotics such as Kivnon, Dronetools and Helix North, and leaders in artificial intelligence such as GMV.

• Leading research bodies in different technologies to be studied: AI/multiagents (University of Salamanca), quantum artificial intelligence (CSIC), agro-monitoring (University of Seville), predictive quality and augmented reality (ITCL), and genomic phenotyping, modeling, and prediction (IRTA).

• Expert companies in the agricultural field and leaders in their sectors such as Florette, Familia Torres and Casa Ametller.

The AgrarIA initiative seeks to explore the applicability and viability of artificial intelligence, together with other technologies, in real solutions to define new methods of agricultural production that will make the future Spanish agri-food sector more technologically-oriented, innovative, sustainable, and committed to energy efficiency and reduced CO2 emissions.

The project is 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 (file no. MIA.2021.M01.0004), corresponding to the funds of the Recovery, Resilience and Transformation Plan.