Abstract
This paper disputes describing a solution to solve safety, quality and traceability problems in food products by providing healthy electronic food networks based on Blockchain technology and internet of things (IoT). The delivery and use of fake food reaches thousands every year, and the system of fake foodstuffs and stakeholders in the food supply chain (FSC) system are not subject to appropriate conflict measures. The current status of food items is recorded at anytime and anywhere with the goal of ensuring the validity of information sources by means of IoT devices. The framework has also realized that data exchange and storage in any stage of the supply chain are enabled by Blockchain supplier ledger technology to ensure that data are available, traceable and unimpaired. It will become evident directly at any point on the network that unsafe food is identified and its further access blocked. The FSC is replicated with a Hyperledger fabric platform and compares its performance with other methods which effectively improve data transparency, enhance food safety and reduce manual operation.
Similar content being viewed by others
References
Cooper MC, Ellram LM (1993) Characteristics of supply chain management and the implications for purchasing and logistics strategy. Int J Logist Manag 4(2):13–24
Manning L, Soon JM, Griffith C, Griffith C (2016) Development of sustainability indicator scoring (SIS) for the food supply chain. Br Food J 118(9):2097–2125
Manning L, Baines R, Chadd S (2006) Quality assurance models in the food supply chain. Br Food J 108(2):91–104
Fritz M, Schiefer G (2008) Food chain management for sustainable food system development: a European research agenda. Agribusiness 24(4):440–452
Gustavsson J, Cederberg C, Sonesson U, Van Otterdijk R, Meybeck A (2011) Global food losses and food waste. Food and Agriculture Organization of the United Nations, Rome
King RP, Phumpiu PF (1996) Reengineering the food supply chain: the ECR initiative in the grocery industry. Am J Agric Econ 78(5):1181–1186
Folkerts H, Koehorst H (1997) Challenges in international food supply chains: vertical co-ordination in the European agribusiness and food industries. Supply Chain Manag Int J 2(1):11–14
Caswell JA, Bredahl ME, Hooker NH (1998) How quality management metasystems are affecting the food industry. Rev Agric Econ 20(2):547–557
Ahumada O, Villalobos JR (2009) Application of planning models in the agri-food supply chain: a review. Eur J Oper Res 196(1):1–20
Ali J, Kumar S (2011) Information and communication technologies (ICTs) and farmers’ decision-making across the agricultural supply chain. Int J Inf Manag 31(2):149–159
Balamurugan S, Ayyasamy A, Suresh Joseph K (2020) Enhanced petri nets for traceability of food management using internet of things. Peer Peer Netw Appl. https://doi.org/10.1007/s12083-020-00943-0
Kumar S, Raza Z (2017) Using clustering approaches for response time aware job scheduling model for internet of things (IoT). Int J Inf Technol 9:177–195. https://doi.org/10.1007/s41870-017-0020-0
Baloch Z, Shaikh FK, Unar MA (2018) A context-aware data fusion approach for health-IoT. Int J Inf Technol 10:241–245. https://doi.org/10.1007/s41870-018-0116-1
Gupta V, Singh B (2020) Study of range free centroid based localization algorithm and its improvement using particle swarm optimization for wireless sensor networks under log normal shadowing. Int J Inf Technol 12:975–981. https://doi.org/10.1007/s41870-018-0201-5
Boehm VA, Kim J, Hong JWK (2017) Holistic tracking of products on the blockchain using NFC and verified users. In: International workshop on information security applications. Springer, Cham, pp 184–195
Christidis K, Devetsikiotis M (2016a) Blockchain and smart contracts for the internet of things. IEEE Access 4:2292–2303
Zheng Z, Xie S, Dai H, Chen X, Wang H (2017) An overview of Blockchain technology: architecture, consensus, and future trends. In Proceedings of the 2017 IEEE international congress on Big Data (BigData Congress), Boston, MA, USA, pp 557–564
Yin S, Bao J, Zhang Y, Huang X (2017) M2M security technology of CPS based on Blockchains. Symmetry 9:193
Conoscenti M, Torino D, Vetr A, Torino D, De Martin JC Blockchain for the internet of things : a systematic literature review. In: 2016 IEEE/ACS 13th international conference of computer systems and applications (AICCSA)
Ali MS, Dolui K, Antonelli F (2017) IoT data privacy via Blockchains and IPFS. In: Proc. seventh int. conf. internet things—IoT ’17, pp 1–7
Lee B, Lee JH (2017) Blockchain-based secure firmware update for embedded devices in an internet of things environment. J Supercomput 73(3):1152–1167
Boudguiga A, Bouzerna N, Granboulan L, Olivereau A, Quesnel F, Roger A, Sirdey R (2017) Towards better availability and accountability for IoT updates by means of a Blockchain. In: Proc.—2nd IEEE Eur. symp. secur. priv. work. EuroS PW 2017, pp 50–58
Christidis K, Devetsikiotis M (2016b) Blockchains and smart contracts for the internet of things. IEEE Access 4:2292–2303
Sun J, Yan J, Zhang KZK (2016) Blockchain-based sharing services: What Blockchain technology can contribute to smart cities. Financ Innov 2(1):26
Khan MA, Salah K (2018) IoT security: review, Blockchain solutions, and open challenges. Future Gener Comput Syst 82:395–411
Banerjee M, Lee J, Choo KKR (2018) A Blockchain future for internet of things security: a position paper. Digit Commun Netw 4(3):149–160
Polyzos GC, Fotiou N (2017) Blockchain-assisted information distribution for the internet of things. In: Proc.—2017 IEEE int. conf. inf. reuse integr. IRI 2017, vol 2017–January, pp 75–78
Ouaddah A, Elkalam AA, Ouahman AA (2017) “Towards a novel privacy-preserving access control model based on Blockchain technology in IoT,” Europe and MENA Cooperation. Adv Inf Commun Technol 520:523–533
Hsu Y, Chen A, Wang C (2008) A RFID-enabled traceability system for the supply chain of live fish. In: Proceeding of the 2008 IEEE international conference on automation and logistics, pp 81–86. https://doi.org/10.1109/ICAL.2008.4636124
Tian F (2016) An agri-food supply chain traceability system for China based on RFID and Blockchain technology. In: Proceeding of the 13th international conference on service systems and service management (ICSSSM'16), pp 1–6. https://doi.org/10.1109/ICSSSM.2016.7538424
Zinas N, Kontogiannis S, Kokkonis G, Valsamidis S, Kazanidis I (2017) Proposed open source architecture for long range monitoring. The case study of cattle tracking at Pogoniani. In: Proceedings of the 21st Pan-Hellenic conference on informatics (PCI 2017). ACM, New York, NY, USA, Article 57, p 6. https://doi.org/10.1145/3139367.3139437
Carbone A, Davcev D, Mitreski K, Kocarev L, Stankovski V (2018) Blockchain based distributed cloud fog platform for IoT supply chain management. In: Proceedings of the eighth international conference on advances in computing, electronics and electrical technology (CEET’18), pp 51–58. https://doi.org/10.15224/978-1-63248-144-3-37
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Balamurugan, S., Ayyasamy, A. & Joseph, K.S. IoT-Blockchain driven traceability techniques for improved safety measures in food supply chain. Int. j. inf. tecnol. 14, 1087–1098 (2022). https://doi.org/10.1007/s41870-020-00581-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41870-020-00581-y