Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Research on deer house monitoring system based on Internet of things

Authors
Hongyan Ju, Shijun Li, He Gong
Corresponding Author
Hongyan Ju
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.165How to use a DOI?
Keywords
Environmental parameters, sensors, ZigBee, early warning.
Abstract

There is a high requirement for the growth environment in the deer breeding , Have a great impact on the antler growth, especially temperature, humidity, illumination and other environmental parameters. This study designs a deer house monitoring system based on Internet of things, able to monitor and display parameters including temperature, humidity, and light in time of the deer's house,to monitor the physical condition of a deer, including deer's body temperature and body weight, complete monitoring and early warning function. To reduce labor costs and improve production efficiency.

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 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.165How 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  - Hongyan Ju
AU  - Shijun Li
AU  - He Gong
PY  - 2017/04
DA  - 2017/04
TI  - Research on deer house monitoring system based on Internet of things
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 859
EP  - 862
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.165
DO  - 10.2991/fmsmt-17.2017.165
ID  - Ju2017/04
ER  -