Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Research and System Design of Traceability System for Food Safety

Authors
Yanbai Wang, Lu Tan
Corresponding Author
Yanbai Wang
Available Online November 2016.
DOI
10.2991/aiie-16.2016.88How to use a DOI?
Keywords
food safety; traceability system; system design
Abstract

Now the food industry has become more and more customers as the center, so the need for faster response time to deal with food safety incidents. The current food labeling system does not guarantee that the food is authentic, high quality and safety. Good traceability system helps to reduce the production and distribution of unsafe or poor quality products, so as to minimize the potential negative effects and product recall. As a tool to ensure food safety and quality, so as to obtain the trust of consumers. The traceability system of safety and quality in food supply chain is studied in this paper.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.88How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanbai Wang
AU  - Lu Tan
PY  - 2016/11
DA  - 2016/11
TI  - Research and System Design of Traceability System for Food Safety
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 385
EP  - 387
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.88
DO  - 10.2991/aiie-16.2016.88
ID  - Wang2016/11
ER  -