An innovative approach towards sustainability by adopting identification technologies in the food sector - A systematic literature review

Authors

  • Szilvia Botos
  • Aashima Chhabra University of Debrecen Faculty of Economics and Business

DOI:

https://doi.org/10.17700/jai.2023.14.2.690

Keywords:

food supply chain, identification technologies, RFID, IoT

Abstract

The food sector around the world is more concerned about food safety and authenticity. A lot of new technologies are being tested by the food industry to achieve the desired results. It is observed that many of the meat production companies are still facing issues with the technology implementation as they are still dependent on the traditional methods of traceability in meat production and meat processing. By doing so, a lot of food waste and delays in processing is the main cause. To understand the requirements and benefits of adopting identification technologies in meat production, a growing body of literature has been examined and analyzed by the authors. By following the PRISMA guidelines 45 articles have been collected from the Science Direct and Web of Science. This paper examines the different aspects in terms of sustainability and economic growth after accepting the identification technologies. According to the systematic literature review findings, this is the only article that describes the different aspects of technology in the food sector in depth. Mainly, the three different technologies RFID, NFC, and Barcodes are being noticed by the authors in different kinds of literature, which have a huge impact on the sustainability and efficiency of logistic operations. The study found that these technologies in the meat production and meat processing industries have the greatest value added to the supply chain. The value added by these technologies in the supply chain has a great impact on global and economic levels.

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Published

2024-01-26

How to Cite

Botos, S., & Chhabra, A. (2024). An innovative approach towards sustainability by adopting identification technologies in the food sector - A systematic literature review . Journal of Agricultural Informatics, 14(2). https://doi.org/10.17700/jai.2023.14.2.690

Issue

Section

Journal of Agricultural Informatics

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