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Nutritional Quality and Safety Traceability System for China’s Leafy Vegetable Supply Chain Based on Fault Tree Analysis and QR Code

Authors :
Yuhong Dong
Zetian Fu
Stevan Stankovski
Siyu Wang
Xinxing Li
Source :
IEEE Access, Vol 8, Pp 161261-161275 (2020)
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Leafy vegetables are consumed in most daily xdiets worldwide. As living standards improve, food quality, safety requirements, and nutrition are becoming increasingly important to consumers when purchasing leafy vegetables. This study proposes an evaluation and traceability method that can be used to track the nutritional quality of leafy vegetables. Employing the principles of the Hazard Analysis and Critical Control Point (HACCP) system combined with fault tree analysis (FTA), a traceability model for the entire production and sale process of leafy vegetables is constructed. Four common leafy vegetables, spinach, rape, lettuce, and celery are examined in this research to establish a nutritional quality index system using fuzzy mathematics subordinate function method to evaluate nutritional quality. A nutritional quality and safety traceability system based on browser/server architecture and quick response (QR) code is then designed and developed for full traceability of leafy vegetable quality. This method can ensure food safety and hygiene through the control of key factors affecting food safety throughout the entire supply chain process.

Details

Language :
English
ISSN :
21693536
Volume :
8
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.662292cb98524bc289c4389c90b35ea1
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2020.3019593