How data and the digital technologies are shaping the data economy for agrifood systems

Sjaak Wolfert, Cor Verdouw and Isabelle Piot-Lepetit ()
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Sjaak Wolfert: Wageningen Social & Economic Research
Cor Verdouw: WUR - Wageningen University and Research [Wageningen]
Isabelle Piot-Lepetit: UMR MoISA - Montpellier Interdisciplinary center on Sustainable Agri-food systems (Social and nutritional sciences) - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - CIHEAM-IAMM - Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier - CIHEAM - Centre International de Hautes Études Agronomiques Méditerranéennes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement

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Abstract: The agri-food sector faces urgent challenges such as food security, environmental sustainability, and equitable access to resources. The Data Economy for AgriFood Systems (DE4AFS) offers a transformative solution, leveraging data and digital technologies to address these issues while driving innovation and efficiency. By fostering interconnected ecosystems through federated data spaces, DE4AFS enables secure and trustworthy data sharing, promoting collaboration among stakeholders. Artificial intelligence (AI) further amplifies its potential by generating actionable insights, enhancing decision-making, and supporting sustainable practices like smart agriculture and supply chain optimization. However, challenges such as the digital divide, governance complexities, and environmental impacts remain critical barriers. This chapter outlines the technical and organizational dimensions of the DE4AFS, emphasizing the role of AI and federated data spaces in creating resilient, equitable, and sustainable agri-food systems. It highlights pathways for addressing these challenges and provides a roadmap for leveraging the digital transformation to achieve global sustainability goals in the agri-food sector.

Keywords: Artificial; intelligence (search for similar items in EconPapers)
Date: 2026
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Published in Tarek Ben Hassen; Hamid El Bilali. Digital Technologies for Sustainable Agriculture and Food Systems, Academic Press, pp.43-68, 2026, 978-0-443-33508-2. ⟨10.1016/B978-0-443-33508-2.00009-8⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05521017

DOI: 10.1016/B978-0-443-33508-2.00009-8

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