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Ongoing Modeling and Control

Digital agriculture for sustainable development’ (AGRITECH EU)

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Summary

The main objective of the project is to design and deliver higher education program(s)—first-level master’s degrees (at ISCED Level 7 or equivalent)—as well as to enrich existing bachelor’s and master’s programs and develop related standalone modules/courses (online or in-person) aimed at training specialists in the digital transition for farms and food companies, leading to recognized certifications. These objectives will be achieved through a European consortium composed of 7 higher education institutions, 5 companies, and 1 research and excellence center.

Digitalization in agriculture can generate multiple benefits: increasing productivity, improving efficiency and work quality, reducing pressure on natural resources, and promoting market integration. Additionally, it can enhance farmers’ access to knowledge, foster peer-to-peer learning, support innovation networks, strengthen links between rural and urban areas and between producers and consumers, and reduce administrative burdens. However, the economic, social, and environmental opportunities offered by digitalization also come with risks. In fact, unregulated digitalization in agriculture—or promoting adoption without offering sufficient regulatory protection—can have harmful consequences for vulnerable individuals, communities, and regions across the EU.

To maximize equitable opportunities and mitigate risks, agricultural businesses must strengthen their knowledge and capabilities to use digital technologies effectively and responsibly.

The project will focus on designing and delivering international higher education programs dedicated to training specialists in Digital Agriculture:

  • To explore technological solutions for digital agriculture with a responsible innovation approach

  • To learn how to interact with technology providers and developers for the design and selection of innovative applications

  • To learn how to use digital agriculture tools

  • To learn how to assess the socioeconomic impacts of digital technologies

Participants

  • CIESOL – University of Almería
  • Research Group «Automation, Robotics, and Mechatronics,» University of Almería (TEP 197)