Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Food Safety Detection System Based on Internet of Things

Authors
Yongjun Zhang, Changfeng Zhang, Shenggang Wu, Guofeng Jun
Corresponding Author
Yongjun Zhang
Available Online November 2017.
DOI
10.2991/amms-17.2017.79How to use a DOI?
Keywords
component; internet of things; J2EE; RFID technology; B/S
Abstract

With the continuous improvement of the economic level and living standards, more and more people begin to pay attention to the issues of food safety. In this paper, the design of food safety detection system is integrated by using technologies of RFID, the safety monitoring traceability, which uses the browser / server (B/S) mode that utilizes a lightweight J2EE Spring+ Spring MVC+ Hibernate framework as the core development technology. In terms of the MySQL database platform, the system can not only monitor the food safety in real time, but also significantly improve the efficiency of food safety testing.

Copyright
© 2017, 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 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/amms-17.2017.79
ISSN
1951-6851
DOI
10.2991/amms-17.2017.79How to use a DOI?
Copyright
© 2017, 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  - Yongjun Zhang
AU  - Changfeng Zhang
AU  - Shenggang Wu
AU  - Guofeng Jun
PY  - 2017/11
DA  - 2017/11
TI  - Food Safety Detection System Based on Internet of Things
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 354
EP  - 356
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.79
DO  - 10.2991/amms-17.2017.79
ID  - Zhang2017/11
ER  -