The Contribution of Deep Learning Techniques in Research on Transition Process Towards More Sustainable and Resilient Agrifood Systems: Emerging Trends and Challenges

Anna Rita Ceddia, Daniela Claps, Mariella Nocenzi (), Maurizio Notarfonso and Ombretta Presenti
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Anna Rita Ceddia: University of Foggia, Department of Social Science
Daniela Claps: ENEA—Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Department for Sustainability
Mariella Nocenzi: LUMSA (Libera Università degli Studi Maria SS. Assunta), Department of Human Sciences - Communication, Education and Psychology
Maurizio Notarfonso: ENEA—Italian National Agency for New Technologies, Sustainable Agrifood Systems Division, Department for Sustainability
Ombretta Presenti: ENEA—Italian National Agency for New Technologies, Energy and Sustainable Economic Development, Department for Sustainability

A chapter in Artificial Intelligence and Networks for a Sustainable Future, 2026, pp 329-354 from Springer

Abstract: Abstract The agrifood system is a complex network that involves various activities, processes, and individuals working together to produce, process, distribute, and consume food (Braun et al. 2021). The agrifood system encompasses a wide range of actors, including seed, pesticide, fertilizer producers, livestock breeders, farmers, food processors, distributors, retailers, consumers, researchers, advocacy groups, and policymakers. The behaviours of these actors are influenced by a wide range of economic, environmental, social drivers, and their interactions (Ingram 2011).

Date: 2026
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DOI: 10.1007/978-3-032-13458-5_18

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