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Research Article

Academia Journal of Agricultural Research 3(3): 369-380, December 2015
DOI: 10.15413/ajar.2015.0118
ISSN: 2315-7739
©2015 Academia Publishing

Abstract

 

GIS based land evaluation decision support system
 


Accepted 15th November, 2015
 

Ranya Fadlalla Abdalla Elsheikh1,2


1Department of Geographic, Faculty of Arts & Humanities, King Abdulaziz University, Saudi Arabia.
2Department of GIS, Faculty of Engineering, School of Survey, Sudan University of Science and Technology, Sudan.

 

*Corresponding author e-mail: rania58@gmail.com


There is a pressing need to develop an optimal land evaluation decision support system to identify the part of a region that selected crops could be grown in high yield. Matching the requirement of land use with land’s capability ensures that production level does not exceed the capacity the land can sustain. The purpose of this study is to develop an agricultural land suitability evaluation system that relied on the FAO framework of 1976, with some necessary modifications to suit the local environmental conditions. The developed model for land suitability is based on a classification structure rather than a set of guidelines as in FAO framework. Fourteen land characteristics and their threshold values were determined and grouped into nine land qualities. The land suitability model was constructed with GIS capabilities and integrated with modeling function using Visual Basic. The model was implemented and accepted by the Department of Agriculture in Kula Lumpur. It showed that it can serve as a decision support tool for farmers and decision makers.

Key words: GIS, evaluation, land, decision support system, agriculture.
 

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

Cite this article as:

Elsheikh RFA (2015). GIS based land evaluation decision support system. Acad. J. Agric. Res. 3(12): 369-380.

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