Abstract
In this paper, we propose efficient food traceability management techniques using the Internet of things and derive a solution for data transmission. The enhanced Petri net model is utilized for food traceability using the improved period data. The application of the food traceability is used to maintain the automation, minimized cost and reduced system complexity. The primary parameter for this system is the food transportation from the producer to the customer. The Internet of Things is utilized to connect the producer to the customer with a smart transportation system. A low-cost solution is obtained using the IoT based food traceability. The application of the food traceability is used to maintain the automation, minimized cost and reduced system complexity. The Enhanced Petri Net model is simulated and the experimental results proved that the proposed Enhanced Petri Net algorithm is more efficient for food traceability management Techniques compared to the K-means and SOM methods.
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Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M (2015) Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Commun Surv Tuts 17(4):2347–2376, 4th Quart
Atzori L, Iera A, Morabito G (2010) The Internet of Things: A survey. Comput Netw 54(15):2787–2805
Sutar SH, Koul R, Suryavanshi R (2016) Integration of smart phone and IoT for development of smart public transportation system. In Proc Int Conf Internet Things Appl pp 73-78
Riazul Islam SM, Kwak D, Humaun Kabir M, Hossain M, Kwak K-S (2015) The Internet of Things for health care: A comprehensive survey. IEEE Access 3:678–708
Feng S, Setoodeh P, Haykin S (2017) Smart home: Cognitive interactive people-centric Internet of Things. IEEE Commun Mag 55(2):34–39
Etim IE, Lota J (2016) `Power control in cognitive radios, Internet-of Things (IoT) for factories and industrial automation. In Proc Annu Conf IEEE Ind Electron Soc 4701-4705
Moon A, Kirn J, Zhang J, Liu H, Son SW (2017) Understanding the impact of lossy compressions on IoT smart farm analytics. Proceedings of the 2017 IEEE international conference on big data (big data), December, 11–14, 2017, IEEE, Boston, Massachusetts, ISBN: 978-l-5386-2716-7, pp: 4602–4611
Banerjee M, Lee J, Choo KKR (2017) A blockchain future for internet of things security: a position paper. Digit Commun Netw 4:149–160
Ray PP (2016) A survey on internet of things architectures. J King Saud Univ Comput Inf Sci 30:219–319
Xiao L, Wan X, Lu X, Zhang Y, Wu D (2018) IoT security techniques based on machine learning. Cryptogr Secur 1:1–20
Chen F, Deng P, Wan J, Zhang D, Vasilakos AV et al (2015) Data mining for the internet of things: literature review and challenges. Intl J Distrib Sens Netw 2015:1–14
Trebar M, Grah A, Melcon AA, Parreno A 2011) Towards RFID traceability systems of farmed fish supply chain. In Proceedings of the 19th International Conference on Software, Telecommunications and Computer Networks (SoftCOM’11), pp. 6–11, Hvar, Croatia
Tran TTL, Peng L, Diao Y, McGregor A, Liu A (2012) CLARO: modeling and processing uncertain data streams. VLDB J 21(5):651–676
Mai N, Bogason SG, Arason S, Arnason SV, Matthiasson TG (2010) Benefits of traceability in fish supply chains—case studies. Br Food J 112(9):976–1002
Zhang D, Guo J (2011) The development and standardization of testing methods for genetically modified organisms and their derived product. J Integr Plant Biol 53(7):539–551
Food Safety Management System (2014) The Amber Valley, [Online]: http://www.ambervalley.gov.uk/health-and-social-care/food-safety/food-safetymanagement-system.aspx
Ryan JM (2014) Guide to food safety and quality during transportation: controls, Standards and Practices, Elsevier
Yerpude S, Singhal TK (2017) Internet of things and its impact on business analytics. Indian J Sci Technol 10:1–6
Borthakur D, Dubey H, Constan N, Mahler L, Mankodiya K (2017) Smart fog: Fog computing framework for WIBupervised clustering analytics in wearable internet of things. Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 14–16, 2017, IEEE, Montreal, Canada, ISBN: 978-l −5090-5991-l, pp: 472–476
Alam F, Mehrnood R, Katib I, Albeshri A (2016) Analysis of eight data mining algorithms for smarter internet of things (IoT). Procedia Comput Sci 98:437–442
Meidan Y, Bohadana M, Shabtai A, Ochoa M, Tippenhauer NO et al (2017) Detection of unauthorized IOT devices using machine learning techniques. Cryptogr Secur 1:1–13
Thangaraju G, Umarani J, Poongodi V (2017) Comparative study of clustering algorithms: filtered clustering and K-means cluttering algorithm using WEKA. Intl J Innov Res Comput Commun Eng 5:15115–15124
Wei M, Hong SH, Alam M (2016) An IoT-based energy-management platform for industrial facilities. Appl Energy 164:607–619
Hahn J (2018) The bio-telemetry of information and environment: an E valuation of IoT-powered recommender systems. Digit Libr 1:1–10
Khoda A (2017) A survey on various techniques in internet of things (IoT) implementation: a comparative study. Intl J Futur Revolut Comput Sci Commun Eng 3:259–264
Neureiter C, Uslar M, Engel D, Lastro G (2016) A standards-based approach for domain specific modelling of smart grid system architectures. Proceedings of the 2016 11th Conference on System of Systems Engineering (SoSE), June 12–16, 2016, IEEE, Kongsberg, Norway, ISBN: 978-l −4673-8728-6, pp: 1–6
Onuki Y, Kosugi A, Harnaguchi M, Marumo Y, Kumada S et al (2018) A comparative study of disintegration actions of various disintegrants using Kohonen's self-organizing maps. J Drug Deliv Sci Technol 43:141–148
Balamurugan S, Ayyasamy A, Suresh Joseph K (2018) Investigation of performance analysis of QoS in the internet of things (IoT), international journal of scientific research in science. Eng Technol 5(3):32–37
Harold Robinson Y, Golden Julie E (2019) SMR: a synchronized multipath re-broadcasting mechanism for improving the quality of conversational video service. Wirel Pers Commun 104(3):1149–1173
Balamurugan S, Ayyasamy A, Suresh Joseph K (2018) A review on privacy and security challenges in the internet of things (IoT) to protect the device and communication networks. Int J Comput Sci Inf Secur 16(6):57–65
Krishnan R, Agarwal R, Bajada C, Arshinder K (2020) Redesigning a food supply chain for environmental sustainability – An analysis of resource use and recovery. J Clean Prod 242:118374
Carino S, Porter J, Malekpour S, Collins J (2020) Environmental sustainability of hospital foodservices across the food supply chain: a systematic review. J Acad Nutr Diet 120(5):825–873
Behnke K, Janssen MFWHA (2019) Boundary conditions for traceability in food supply chains using blockchain technology. Int J Inf Manag 52:101969
Xu W, Zhang Z, Wang H, Yi Y, Zhang Y (2020) Optimization of monitoring network system for eco safety on internet of things platform and environmental food supply chain. Comput Commun 151:320–330
Haleem A, Khan S, Khan MI (2019) Traceability implementation in food supply chain: A grey-DEMATEL approach. Inf Process Agric 6(3):335–348
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Balamurugan, S., Ayyasamy, A. & Joseph, K.S. Enhanced petri nets for traceability of food management using internet of things. Peer-to-Peer Netw. Appl. 14, 30–43 (2021). https://doi.org/10.1007/s12083-020-00943-0
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DOI: https://doi.org/10.1007/s12083-020-00943-0