DocumentCode
3447250
Title
A precision agriculture management system based on Internet of Things and WebGIS
Author
Jiuyan Ye ; Bin Chen ; Qingfeng Liu ; Yu Fang
Author_Institution
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
5
Abstract
This thesis is based on the application of Internet of Things (IoT) and WebGIS in precision agriculture. Through analyzing the current development of precision agriculture in China and considering its advantages and shortcomings, we choose an ecology farm as an example to conduct a new precision agriculture management system (PAMS) based on the above two techniques. We designed the four architectures of PAMS: the spatial information infrastructure platform, the IoT infrastructure platform, the agriculture management platform and the mobile client. Users can monitor and manage the agriculture production by PAMS. What´s more, module integration method and open source software can help us to reduce the development cost and to improve the system efficiency.
Keywords
Internet; Internet of Things; agriculture; client-server systems; computerised monitoring; cost reduction; ecology; geographic information systems; mobile computing; production engineering computing; production management; public domain software; Chinese precision agriculture development; Internet of Things; IoT infrastructure platform; PAMS; WebGIS; agriculture production management; agriculture production monitoring; development cost reduction; ecology farm; mobile client; module integration method; open source software; precision agriculture management system; spatial information infrastructure platform; system efficiency improvement; Agriculture; Geographic information systems; Internet; Mobile communication; Monitoring; Production; Spatial databases; Internet of Things; LBS; Precision Agriculture; WebGIS;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626173
Filename
6626173
Link To Document