Let them eat data – trusted data spaces from farm to fork (and back to the farm)

Alves, Kyle; Rodel, Eugen; Henri, Dominique; West, Shaun; Brewer, Steve

Abstract

This paper introduces an approach to augment the farm-to-fork value chain through thorough data consolidation and use case sharing. Capitalizing on cutting-edge data analytics and digital transformation strategies, the approach seeks to mitigate predominant issues in the food supply chain, such as inefficiencies, waste, and sustainability. The ambition is to create a dependable data ecosystem akin to the financial sector’s SWIFT network, enhancing transparency, traceability, food safety, and operational effectiveness throughout the supply chain. This paper illustrates the transformative potential of data-centric solutions in redefining food production, distribution, and consumption paradigms, covering a broad spectrum of applications from producing prepared foods to cultivating soft herbs. The study delves into the benefits and challenges of data sharing and analytical techniques for fostering business innovation, system oversight, and regulatory frameworks in the food industry through collective endeavors. This work presents a benchmark for the imperative of empirical research via real-world implementations within the sector.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: APMS 2024 - Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
• Start Date: Sep 8, 2024
• End Date: Sep 12, 2024
• Acceptance Date: Jun 21, 2024
• Online Publication Date: Sep 7, 2024
• Publication Date: Sep 7, 2024
• Deposit Date: Sep 12, 2024
• Publicly Available Date: Sep 8, 2025
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 177-191
• Series Title: IFIP Advances in Information and Communication Technology
• Series Number: 731
• Series ISSN: 1868-4238
• Book Title: Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments
• ISBN: 9783031716324
• DOI: https://doi.org/10.1007/978-3-031-71633-1_13
• Keywords: Data sharing, food supply chains, safe data space
• Public URL: https://uwe-repository.worktribe.com/output/12884863
• Publisher URL: https://link.springer.com/chapter/10.1007/978-3-031-71633-1_13
• Additional Information: First Online: 7 September 2024; : The authors have no competing interests relevant to this article’s content. They thank DataBooster (databooster.ch) for the grant that made this work possible.; Conference Acronym: APMS; Conference Name: IFIP International Conference on Advances in Production Management Systems; Conference City: Chemnitz; Conference Country: Germany; Conference Year: 2024; Conference Start Date: 8 September 2024; Conference End Date: 11 September 2024; Conference Number: 43; Conference ID: apms2024; Conference URL: https://www.apms-conference.org