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Publishing a Web Based Crop Monitoring System and Performance Test
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  • Journal title : Korean Journal of Remote Sensing
  • Volume 31, Issue 5,  2015, pp.491-499
  • Publisher : The Korean Society of Remote Sensing
  • DOI : 10.7780/kjrs.2015.31.5.12
 Title & Authors
Publishing a Web Based Crop Monitoring System and Performance Test
Lee, Jung-Bin; Kim, Jeong-Hyun; Park, Yong-Nam; Hong, Suk-Young; Heo, Joon;
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In developed countries such as USA and Europe, agricultural monitoring system is developed and utilized in various fields in order to predict crop yield, observe weather conditions and anomaly, categorize crop fields, and calculate areas for each crop. These system is Web Map Service(WMS) which utilizes open source and commercial softwares, and various information collected from remote sensing data are provided. This study will utilize tools such as GeoServer, ArcGIS Server, which are widely used to monitor agricultural production, to publish Map Server and Web Application Server. This enables performance test study for future agricultural production monitoring system by making use of response time and data transfer test. When tested in identical condition GeoServer showed a better result in response time and data transfer for performance test.
Agricultural monitoring system;Web Map Service;GeoServer;ArcGIS Server;Performance test;
 Cited by
Ahn, Joong-Bae, Ji-Na Hur, and Kyo-Moon Shim, 2010. A simulation of agro-climate index over the Korean Peninsula using dynamical downscaling with a numerical weather prediction model, Korean Journal of Agricultural and Forest Meteorology, 12(1): 1-10 (In Korean with English abstract). crossref(new window)

2., 2013. ArcGIS Server 10 Help: Component of an ArcGIS Server system,

Ballatore, A., A. Tahir, G. McArdle, and M. Bertolotto, 2011. A comparison of open source geospatial technologies for web mapping, International Journal of Web Engineering and Technology, 6(4): 354-374. crossref(new window)

Bauer, J.R., 2012. Assessing the Robustness of Web Feature Services Necessary to Satisfy the Requirements of Coastal Management Applications, Master's thesis, University of Wisconsin Sea Grant Institute. USA.

FAO, 2014. Remotely Sensed Information for Crop Monitoring and Food Security - Techniques and methods for arid and semi-arid areas,

Giuliani, G., A. Dubois, and P. Lacroix, 2013. Testing OGC Web Feature and Coverage Service performance: Towards efficient delivery of geospatial data, Journal of Spatial Information Science, 7: 1-23.

Joan Maso, Paula Diaz, Xavier Pons, L. Jose, Monteagudo-Pereira, Joan Serra-Sagrista, and Francesc Auli-Llinas, 2011. Impact of User Concurrency in Commonly Used Open Geospatial Consortium Map Server Implementations, Proc. of 2011 The First International Conference on Advanced Communications and Computation, pp. 179-186.

Rao, S. and S. Vinay, 2009. Choosing the right GIS framework for an informed Enterprise Web GIS Solution, Proc. of 2009 CIESIN, Columbia University & NASA New York, USA December, 17.

RDA, 2011. Preprocess Program for MODIS satellite images. Program Registration No. 2011-01-189-012198.

Xia, D., X. Xie, and Y. Xu, 2009. Web GIS Server Solutions using Open-Source Software, Proc. of Open-source Software for Scientific Computation (OSSC), pp. 135-138.