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Let Them Eat Data – Trusted Data Spaces from Farm to Fork (and Back to the Farm)

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

摘要

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.