International Journal of Innovative Research in Engineering and Management
Year: 2018, Volume: 5, Issue: 1
First page : ( 30) Last page : ( 34)
Online ISSN : 2350-0557.
DOI: 10.21276/ijirem.2018.5.1.7 | DOI URL: https://doi.org/10.21276/ijirem.2018.5.1.7 Crossref
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
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Kalyanjit Sarmah , C.R. Deka , Utpal Sharma, Ranjit Sarma
Decision Support Systems (DSS) provide a framework for integration, management, analysis and finally graphical presentation of a particular phenomena in order to improve the existing decision making process. In the present day context, the decision support system concept has been extended to the spatial dimension by integrating GIS and DSS into spatial decision support systems (SDSS). Due to the lack of computer software to develop user friendly interfaces in the past, GIS have not been used as part of SDSS. Instead GIS have been used to generate and store spatial data which were used that time as inputs for the analytical or manual statistical models. GIS was used independently to display maps by inputting results of the analytical models. With the passing time much of the research has been done on the use of GIS in the visualisation of the results of the analytical models. Developing user friendly graphical interfaces in incorporating analytical models into GIS to arrive at SDSS’s is one of the active areas in modern day agricultural management system. Technological or precision farming, a combination of GIS,GPS receivers, continuous yield sensors, geostatistics and variable rate applicators is an innovative approach to practice of sustainable agriculture. The other SDSS applications discussed in this paper are on watershed management, crop productivity management and policy decision analysis.
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ARSAC/ASTEC Guwahati, India
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