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NFC-Based Traceability in the Food Chain

Author

Listed:
  • Danny Pigini

    (Department of Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy)

  • Massimo Conti

    (Department of Ingegneria dell’Informazione, Università Politecnica delle Marche, 60131 Ancona, Italy)

Abstract

In recent years, many events related to food and public health, such as bovine spongiform encephalopathy (BSE, commonly known as mad cow disease), dioxin, bird flu and swine flu, brought the issue of food security to the center of international attention. Many countries established strict rules to ensure the food traceability “from farm to fork” to meet the demand of consumer safety and to ensure public health. Consequently, the concepts of controlled supply chain, brand of quality and traceability of food products have had a strong evolution. Companies in the food production sector must evolve and change their organizational and management chain to satisfy increasingly stringent government rules and to respond to the requirements of the market. From this point of view, NFC (Near Field Communication) has all the requirements to become the main technology for traceability in the various food sectors. This paper proposes a solution to gather information throughout the entire food supply chain and bring it directly to the consumer. The architecture consists of a complex identification system based on NFC tags, which cumulates data during all phases of the production process. The aim of this work is to keep track of the information generated during food processing, not only for traceability purposes, but also for enhancing and optimizing production. The data generated by the traceability system are collected in a cloud database through apps on Android smartphones. The information is accessible by the consumers through a public Android application. The pork supply chain has been used as an application example of the proposed methodology.

Suggested Citation

  • Danny Pigini & Massimo Conti, 2017. "NFC-Based Traceability in the Food Chain," Sustainability, MDPI, vol. 9(10), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:10:p:1910-:d:116057
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    References listed on IDEAS

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    1. Roxanne Clemens, 2003. "Meat Traceability and Consumer Assurance in Japan," Midwest Agribusiness Trade Research and Information Center (MATRIC) Publications (archive only) 03-mbp5, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    2. Bellman, Steven & Potter, Robert F. & Treleaven-Hassard, Shiree & Robinson, Jennifer A. & Varan, Duane, 2011. "The Effectiveness of Branded Mobile Phone Apps," Journal of Interactive Marketing, Elsevier, vol. 25(4), pages 191-200.
    3. Roxanne Clemens, 2003. "Meat Traceability and Consumer Assurance in Japan," Center for Agricultural and Rural Development (CARD) Publications 03-mbp5, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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    Cited by:

    1. Shashi & Rajwinder Singh & Piera Centobelli & Roberto Cerchione, 2018. "Evaluating Partnerships in Sustainability-Oriented Food Supply Chain: A Five-Stage Performance Measurement Model," Energies, MDPI, vol. 11(12), pages 1-18, December.
    2. Juan José Bullón Pérez & Araceli Queiruga-Dios & Víctor Gayoso Martínez & Ángel Martín del Rey, 2020. "Traceability of Ready-to-Wear Clothing through Blockchain Technology," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    3. Feng Yang & Kaiyi Wang & Yanyun Han & Zhong Qiao, 2018. "A Cloud-Based Digital Farm Management System for Vegetable Production Process Management and Quality Traceability," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    4. Vineet Paliwal & Shalini Chandra & Suneel Sharma, 2020. "Blockchain Technology for Sustainable Supply Chain Management: A Systematic Literature Review and a Classification Framework," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    5. Massimo Conti & Simone Orcioni, 2020. "Modeling of Failure Probability for Reliability and Component Reuse of Electric and Electronic Equipment," Energies, MDPI, vol. 13(11), pages 1-18, June.

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