Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)

An Warning Information System for Rice Disease Based on WebGIS

Authors
Xuan Xie, Si-qing Yang
Corresponding Author
Xuan Xie
Available Online April 2018.
DOI
10.2991/icaset-18.2018.19How to use a DOI?
Keywords
WebGIS; Rice disease; Warning; Database
Abstract

This paper focuses on the construction and database design of the rice disease early warning information system based on WebGIS, and briefly analyzes the development software of WebGIS. On the basis of establishing database of main rice diseases, with the Internet as the system platform, using WebGIS technology, ASP network programming technology, network database technology, artificial intelligence technology and other modern information system development method, it designs plant diseases and insect pests of rice early warning information system based on WebGIS. The system realizes the rice disease information collection, data transmission, disease diagnosis, effect of real-time release.

Copyright
© 2018, 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 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
Series
Advances in Engineering Research
Publication Date
April 2018
ISBN
978-94-6252-516-0
ISSN
2352-5401
DOI
10.2991/icaset-18.2018.19How to use a DOI?
Copyright
© 2018, 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  - Xuan Xie
AU  - Si-qing Yang
PY  - 2018/04
DA  - 2018/04
TI  - An Warning Information System for Rice Disease Based on WebGIS
BT  - Proceedings of the 2018 8th International Conference on Applied Science, Engineering and Technology (ICASET 2018)
PB  - Atlantis Press
SP  - 96
EP  - 100
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaset-18.2018.19
DO  - 10.2991/icaset-18.2018.19
ID  - Xie2018/04
ER  -