Proceedings of the 2016 International Conference on Computer Science and Electronic Technology

Design and Research of Intelligent Greenhouse Monitoring System Based on Internet of Things

Authors
Fujuan Li, Shihua Li, Zhisong Wang, Zhongfei Chen, Xinyuan Zhao
Corresponding Author
Fujuan Li
Available Online August 2016.
DOI
https://doi.org/10.2991/cset-16.2016.19How to use a DOI?
Keywords
IOT, fuzzy neural network, ZigBee, remote monitoring
Abstract
Since the greenhouse has characters of temperature-humidity uneven distribution, strong coupling and traditional control strategy can't achieve the ideal control effect, the greenhouse monitoring system based on internet of things (IOT) is designed. The system uses a fuzzy neural network which has good control effectiveness in complex and changeable greenhouse system. Perception layer using ZigBee protocol for wireless communications, and greenhouse environment can be controlled by site control software/master node, which makes the system more effective and stronger. The master node uses mobile communication network to send sensing layer data to application layer and can send alarm SMS. This system has the characteristics of low cost, simple structure, flexible networking and easy extending, which adapts to the requirements of complex greenhouse control.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
August 2016
ISBN
978-94-6252-213-8
ISSN
2352-538X
DOI
https://doi.org/10.2991/cset-16.2016.19How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Fujuan Li
AU  - Shihua Li
AU  - Zhisong Wang
AU  - Zhongfei Chen
AU  - Xinyuan Zhao
PY  - 2016/08
DA  - 2016/08
TI  - Design and Research of Intelligent Greenhouse Monitoring System Based on Internet of Things
PB  - Atlantis Press
SP  - 76
EP  - 79
SN  - 2352-538X
UR  - https://doi.org/10.2991/cset-16.2016.19
DO  - https://doi.org/10.2991/cset-16.2016.19
ID  - Li2016/08
ER  -