Blockchain- and IoT-Based Agri-Food Supply Chain Traceability to Improve Food Safety and Combat Food Waste and Food Fraud [* Cross-Reference *]

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Khoualdi, Jihene; Abdelmoula, Ilhem Abdelhedi; Roth, Uwe; Ayed, Hella Kaffel Ben; Badis, Hakim, 2026, "Blockchain- and IoT-Based Agri-Food Supply Chain Traceability to Improve Food Safety and Combat Food Waste and Food Fraud [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.XTL9QO, LIST Open Repository, V1
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Description
In this article, we provide an in-depth analysis of the different causes of food fraud, food safety, and food waste, which are recognized as the main challenges in agri-food supply chains. Leveraging technologies like blockchain- and IoT-enabled traceability systems presents promising solutions to overcome these challenges. Using the PRISMA methodology, we conducted a comprehensive literature review of 41 selected articles to assess the effectiveness of such solutions. The findings reveal that only 48% target primarily improved food safety, while food waste (9%) and food fraud (21%) played a less important role. Only a few papers actively incorporate these attributes into their architectural design and many papers lack practical implementation details, leaving significant gaps in understanding their practical applicability. One finding was that 61% of the proposed solution were build on a public permissionless blockchain (Ethereum) and 39% where build on a permissioned private or consortium blockchain (mainly Hyperledger Fabric and Sawtooth). Critical aspects such as data privacy, confidentiality, final infrastructure governance, or legal frameworks are in most cases missing, e.g., 75% did not discuss the governance of the solution at all. To address the identified limitations, we propose a modular reference architecture that balances transparency and confidentiality through a hybrid blockchain approach. It incorporates a trusted platform layer with secure data storage, publicly verifiable summaries, and role-based access control. The architecture is illustrated through multiple use cases and qualitatively evaluated against characteristics of existing solutions, highlighting its conceptual suitability for regulated agri-food ecosystems. (2026-01-01)
***This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.1109/ACCESS.2026.3684162 for the original and latest version of the dataset and data downloads*** (2026-06-04)
Subject Computer and Information Science
Keyword Agri-food, blockchain, food fraud, food safety, food waste, internet of things, literature review, reference architecture, supply chain, taxonomy, traceability
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