Smartphone-Based Food Traceability System Using NoSQL Database

Article Preview

Abstract:

With growing consumer health awareness, ensuring food safety and quality throughout the supply chain is crucial, particularly for perishable goods. Contamination can occur during production, processing, or distribution, making real-time monitoring essential. This study proposes an affordable Smartphone-based food traceability system (FTS) that utilizes RFID technology and smartphone sensors. A smartphone-based RFID reader tracks products, while integrated sensors monitor temperature, humidity, and location during storage and transport. The system is assessed in the kimchi supply chain in Korea, providing real-time data to both managers and consumers. It offered comprehensive product tracking, including temperature and humidity records, ensuring transparency and safety. Compared to traditional methods, the proposed system demonstrated improved efficiency in handling large volumes of data while maintaining accurate traceability. The results highlight its potential for enhancing food safety and quality across supply chains.

You might also be interested in these eBooks

Info:

Periodical:

Engineering Headway (Volume 27)

Pages:

83-92

Citation:

Online since:

October 2025

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2025 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J. Trienekens and P. Zuurbier, "Quality and safety standards in the food industry, developments and challenges," International Journal of Production Economics, vol. 113, no. 1, p.107–122, May 2008.

DOI: 10.1016/j.ijpe.2007.02.050

Google Scholar

[2] A. Regattieri, M. Gamberi, and R. Manzini, "Traceability of food products: General framework and experimental evidence," Journal of Food Engineering, vol. 81, no. 2, p.347–356, Jul. 2007.

DOI: 10.1016/j.jfoodeng.2006.10.032

Google Scholar

[3] M. M. Aung and Y. S. Chang, "Traceability in a food supply chain: Safety and quality perspectives," Food Control, vol. 39, p.172–184, May 2014.

DOI: 10.1016/j.foodcont.2013.11.007

Google Scholar

[4] L. Wang, S. K. Kwok, and W. H. Ip, "A radio frequency identification and sensor-based system for the transportation of food," Journal of Food Engineering, vol. 101, no. 1, p.120–129, Nov. 2010.

DOI: 10.1016/j.jfoodeng.2010.06.020

Google Scholar

[5] G. Alfian et al., "Improving efficiency of RFID-based traceability system for perishable food by utilizing IoT sensors and machine learning model," Food Control, vol. 110, p.107016, Apr. 2020.

DOI: 10.1016/j.foodcont.2019.107016

Google Scholar

[6] E. Abad et al., "RFID smart tag for traceability and cold chain monitoring of foods: Demonstration in an intercontinental fresh fish logistic chain," Journal of Food Engineering, vol. 93, no. 4, p.394–399, Aug. 2009.

DOI: 10.1016/j.jfoodeng.2009.02.004

Google Scholar

[7] Y. Bouzembrak, M. Klüche, A. Gavai, and H. J. P. Marvin, "Internet of Things in food safety: Literature review and a bibliometric analysis," Trends in Food Science & Technology, vol. 94, p.54–64, Dec. 2019.

DOI: 10.1016/j.tifs.2019.11.002

Google Scholar

[8] M. M. Aung and Y. S. Chang, "Temperature management for the quality assurance of a perishable food supply chain," Food Control, vol. 40, p.198–207, Jun. 2014.

DOI: 10.1016/j.foodcont.2013.11.016

Google Scholar

[9] M. Thakur and E. Forås, "EPCIS based online temperature monitoring and traceability in a cold meat chain," Computers and Electronics in Agriculture, vol. 117, p.22–30, Sep. 2015.

DOI: 10.1016/j.compag.2015.07.006

Google Scholar

[10] G. Alfian, M. Syafrudin, and J. Rhee, "Real-Time Monitoring System Using Smartphone-Based Sensors and NoSQL Database for Perishable Supply Chain," Sustainability, vol. 9, no. 11, p.2073, Nov. 2017.

DOI: 10.3390/su9112073

Google Scholar

[11] G. Aloi et al., "Enabling IoT interoperability through opportunistic smartphone-based mobile gateways," Journal of Network and Computer Applications, vol. 81, p.74–84, Mar. 2017.

DOI: 10.1016/j.jnca.2016.10.013

Google Scholar

[12] S. Sharma, J. Raval, and B. Jagyasi, "Mobile sensing for agriculture activities detection," in 2013 IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, USA: IEEE, Oct. 2013, p.337–342.

DOI: 10.1109/GHTC.2013.6713707

Google Scholar

[13] P. Rajak, A. Ganguly, S. Adhikary, and S. Bhattacharya, "Internet of Things and smart sensors in agriculture: Scopes and challenges," Journal of Agriculture and Food Research, vol. 14, p.100776, Dec. 2023.

DOI: 10.1016/j.jafr.2023.100776

Google Scholar

[14] V. Sathiya, K. Nagalakshmi, K. Raju, and R. Lavanya, "Tracking perishable foods in the supply chain using chain of things technology," Sci Rep, vol. 14, no. 1, p.21621, Sep. 2024.

DOI: 10.1038/s41598-024-72617-3

Google Scholar

[15] K. Lin, D. Chavalarias, M. Panahi, T. Yeh, K. Takimoto, and M. Mizoguchi, "Mobile-based traceability system for sustainable food supply networks," Nat Food, vol. 1, no. 11, p.673–679, Nov. 2020.

DOI: 10.1038/s43016-020-00163-y

Google Scholar

[16] J. Ahn, H. Gaza, J. Lee, H. Kim, and J. Byun, "Oliot EPCIS: An open-source EPCIS 2.0 system for supply chain transparency," SoftwareX, vol. 23, p.101477, Jul. 2023.

DOI: 10.1016/j.softx.2023.101477

Google Scholar

[17] H.L. Gaza and J. Byun, "tracES++: Applying Incremental Computation to Temporal Information Diffusion Analysis for Online Object Traceability," IEEE Access, vol. 12, p.78811–78824, 2024.

DOI: 10.1109/ACCESS.2024.3394543

Google Scholar

[18] "EPC C-1 G-2 / ISO 18000-6C RFID IC," EPC C-1 G-2 / ISO 18000-6C RFID IC. Accessed: Aug. 13, 2024. [Online]. Available: https://www.emmicroelectronic.com/sites/default/files/products/datasheets/4124-ds.pdf

DOI: 10.1109/rfid.2009.4911204

Google Scholar

[19] "ARETE POP | tradekorea," ARETE POP | tradekorea. Accessed: Aug. 26, 2024. [Online]. Available: https://web.archive.org/web/20240902085556/https://tradekorea.com/product/ detail/P341461/ARETE-POP.html

Google Scholar

[20] Y.-S. Kang, I.-H. Park, J. Rhee, and Y.-H. Lee, "MongoDB-Based Repository Design for IoT-Generated RFID/Sensor Big Data," IEEE Sensors J., vol. 16, no. 2, p.485–497, Jan. 2016.

DOI: 10.1109/JSEN.2015.2483499

Google Scholar

[21] "Denshine® FTLAB FTC-001 SmartLab Smart Temperature Humidity Checker (Blue)," Denshine® FTLAB FTC-001 SmartLab Smart Temperature Humidity Checker (Blue). Accessed: Aug. 26, 2024. [Online]. Available: https://web.archive.org/web/20240902090016/ https://www.amazon.ca/Denshine%C2%AE-FTC-001-SmartLab-Temperature-Humidity/dp/B01D2XI4M2

Google Scholar

[22] M. Syafrudin, N. Fitriyani, D. Li, G. Alfian, J. Rhee, and Y.-S. Kang, "An Open Source-Based Real-Time Data Processing Architecture Framework for Manufacturing Sustainability," Sustainability, vol. 9, no. 11, p.2139, Nov. 2017.

DOI: 10.3390/su9112139

Google Scholar

[23] S.A. Ajila and D. Wu, "Empirical study of the effects of open source adoption on software development economics," Journal of Systems and Software, vol. 80, no. 9, p.1517–1529, Sep. 2007.

DOI: 10.1016/j.jss.2007.01.011

Google Scholar

[24] K. Ven and J. Verelst, "The Organizational Adoption of Open Source Server Software by Belgian Organizations," in Open Source Systems, vol. 203, E. Damiani, B. Fitzgerald, W. Scacchi, M. Scotto, and G. Succi, Eds., in IFIP International Federation for Information Processing, vol. 203., Boston, MA: Springer US, 2006, p.111–122.

DOI: 10.1007/0-387-34226-5_11

Google Scholar