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AI, Precision Agriculture and Tourism for Sustainable Regional Development: The Case of the Aegean Islands and Crete, Greece

Author

Listed:
  • Sotiris Lotsis

    (Department of Economic and Regional Development, Panteion University, 17671 Athens, Greece)

  • Ilias Georgousis

    (MLV Research Group, Department of Computer Informatics, Democritus University of Thrace, 65404 Kavala, Greece)

  • George A. Papakostas

    (MLV Research Group, Department of Computer Informatics, Democritus University of Thrace, 65404 Kavala, Greece)

Abstract

Artificial Intelligence plays an exponentially growing role in producing data-driven policy insights. In this policy-oriented case study, AI technology is examined as a necessary coordination node through evidence-based and data-enhanced policies, which can efficiently balance the processes of different and possibly competing sectors, such as agriculture and tourism. The focus is on the NUTS 1 region of the Aegean Islands and Crete (EL4) in Greece. The analysis aims to create a viable and resilient ecosystem of environmental, economic and social sustainability through innovation. Applying a “Growth Pole Theory” approach, key public administration frameworks like the European Interoperability Framework (EIF) and TAPIC (Transparency, Accountability, Participation, Integrity, Capacity) governance framework are discussed and analysed to structure the AI deployment and policy considerations for sustainable development. The paper argues in favour of AI’s transformative potential across both the agriculture and tourism sectors.

Suggested Citation

  • Sotiris Lotsis & Ilias Georgousis & George A. Papakostas, 2025. "AI, Precision Agriculture and Tourism for Sustainable Regional Development: The Case of the Aegean Islands and Crete, Greece," Sustainability, MDPI, vol. 18(1), pages 1-32, December.
    • Handle: RePEc:gam:jsusta:v:18:y:2025:i:1:p:249-:d:1826859
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