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Smartphone-Based Food Traceability System Using NoSQL Database

Authors: Muhammad Syafrudin; Ganjar Alfian; Norma Latif Fitriyani;

Smartphone-Based Food Traceability System Using NoSQL Database

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.

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Keywords

FOS: Computer and information sciences, Computer Science - Computers and Society, Computer Science - Other Computer Science, Other Computer Science (cs.OH), Computers and Society (cs.CY)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green