Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Application of Solid-state Storage in Big Data Processing of Products Traceability

Authors
Zuliang Wang, Robin Zhou, Libin Wang
Corresponding Author
Zuliang Wang
Available Online April 2017.
DOI
10.2991/emim-17.2017.301How to use a DOI?
Keywords
Agricultural products traceability; Big data processing; Solid-state storage
Abstract

Traceability system of agricultural products can effectively let the whole process of agricultural production be monitored. It can realize that the flow of products can be traced back, product quality information can be query and the product can be recalled. Solid-state storage technology has the advantages of less power consumption and strong seismic resistance. Therefore, the application of solid-state memory in the traceability of agricultural products will bring high efficiency and reliable storage means. In this paper, the application of solid-state storage in the big data of agricultural products being studied, we design the tracking and tracing system flow char, the three-layer structure model and a control system for solid state storage.

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 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.301How 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  - Zuliang Wang
AU  - Robin Zhou
AU  - Libin Wang
PY  - 2017/04
DA  - 2017/04
TI  - Application of Solid-state Storage in Big Data Processing of Products Traceability
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1497
EP  - 1500
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.301
DO  - 10.2991/emim-17.2017.301
ID  - Wang2017/04
ER  -