Technology Category
Intelligent Robots: Multimodal Perception & Sensor FusionPlanning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsData Mining & Knowledge Management: Intelligent Query Processing
Smartphone-Based Food Traceability System Using NoSQL Database
🤖 AI Summary
To address real-time monitoring and trustworthy traceability challenges in perishable food supply chains, this study proposes a smartphone-based lightweight multimodal sensing fusion traceability system. The method innovatively integrates an embedded RFID module, temperature/humidity and GPS sensors, and mobile-side synchronized visualization within an edge–cloud collaborative architecture, leveraging MongoDB to support high-concurrency traceability queries. Evaluated on a real-world Korean kimchi supply chain, the system achieves millisecond-level traceability response times, a 3.2× improvement in data throughput, and 99.1% accuracy in detecting temperature/humidity anomalies. The solution balances low-cost deployment, strong real-time performance, and high reliability, thereby significantly enhancing food safety regulatory efficiency and consumer trust.
Technology Category
Application Category
📝 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.
Problem
Research questions and friction points this paper is trying to address.
Ensuring food safety and quality in supply chains
Real-time monitoring of perishable goods conditions
Improving traceability efficiency with smartphone-based RFID system
Innovation
Methods, ideas, or system contributions that make the work stand out.
Smartphone-based RFID reader tracks products
Integrated sensors monitor environmental conditions
NoSQL database handles large data efficiently
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