Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

Study on early warning system of rice disease based on IOT

Authors
Guowei Wang, Yu Sun, Taiyang Niu
Corresponding Author
Guowei Wang
Available Online December 2015.
DOI
10.2991/icmse-15.2015.336How to use a DOI?
Keywords
Internet of things; data mining; Socket.
Abstract

In order to solve the problem of automatic detection of agricultural environment data, the function of real-time data acquisition and processing and the detection and warning of rice diseases is realized. The networking, ZigBee development and space fuzzy data mining technology and established networking rice disease early warning system based on, the realization of the rice growth environment data real-time acquisition, transmission, processing and rice diseases SMS warning function. The research result of this thesis has in Jiutai Meihekou and other areas, to achieve the timely warning of rice diseases, promoted the agricultural production in our province in the development of the information age, reached the rice disease effective prevention and increase the income of farmers.

Copyright
© 2015, 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 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/icmse-15.2015.336
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.336How to use a DOI?
Copyright
© 2015, 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  - Guowei Wang
AU  - Yu Sun
AU  - Taiyang Niu
PY  - 2015/12
DA  - 2015/12
TI  - Study on early warning system of rice disease based on IOT
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1852
EP  - 1856
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.336
DO  - 10.2991/icmse-15.2015.336
ID  - Wang2015/12
ER  -