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Internet of Things Based Systems for Food Safety Management

Author

Listed:
  • Mihai DOINEA
  • Catalin BOJA
  • Lorena BATAGAN
  • Cristian TOMA
  • Marius POPA

Abstract

The paper is highlighting the advantages of integrating technologies and digital standards in public politics for protecting consumer rights. Today’s globalization of food production chains, their extensive complexity and limitations arising from manual insertion and data processing of products information make it impossible for consumers the task of being informed in real-time. This obstacle can be overcome, and the current level of technology and low implementation costs allow full automation of this process. We propose a sensors network architecture based on Internet of Things (IoT) components, which is using autonomous embedded modules and radio identification tags (RFID) that will automatically collect data, covering the entire life cycle of the food product and all the factors that influence its chemical composition. This architecture offers consumers complete data about their food products and how their components were obtained.

Suggested Citation

  • Mihai DOINEA & Catalin BOJA & Lorena BATAGAN & Cristian TOMA & Marius POPA, 2015. "Internet of Things Based Systems for Food Safety Management," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(1), pages 87-97.
    • Handle: RePEc:aes:infoec:v:19:y:2015:i:1:p:87-97
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    References listed on IDEAS

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    1. Radu LIXANDROIU, 2006. "A Model of Traceability for Equipments Using RFID Tehnologies within an Integrated System," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(2), pages 124-128.
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    Cited by:

    1. Cristian TOMA & Marius POPA, 2018. "IoT Security Approaches in Oil & Gas Solution Industry 4.0," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 22(3), pages 46-61.
    2. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
    3. Tan, Weng Chun & Sidhu, Manjit Singh, 2022. "Review of RFID and IoT integration in supply chain management," Operations Research Perspectives, Elsevier, vol. 9(C).

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