Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

Design of Wireless Intelligent Greenhouse Control System Based on Embedded Technology

Authors
Jianling Qi, Hang Su, Xiaodong Duan, Shuya Zhao
Corresponding Author
Jianling Qi
Available Online June 2017.
DOI
10.2991/icmia-17.2017.48How to use a DOI?
Keywords
greenhouse control, STM32 controller, temperature collection, remote control
Abstract

This paper introduces a kind of intelligent greenhouse measurement and control system based on embedded technology and wireless communication technology. The hardware and software control flow of the system are described. In this paper, the method of measuring and controlling the conventional environmental parameters in greenhouse is presented, and the design method of the upper computer and lower computer is introduced.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
10.2991/icmia-17.2017.48How 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  - Jianling Qi
AU  - Hang Su
AU  - Xiaodong Duan
AU  - Shuya Zhao
PY  - 2017/06
DA  - 2017/06
TI  - Design of Wireless Intelligent Greenhouse Control System Based on Embedded Technology
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 261
EP  - 265
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.48
DO  - 10.2991/icmia-17.2017.48
ID  - Qi2017/06
ER  -