SPATIAL-BASED FUZZY CLASSIFICATION OF LAND SUITABILITY INDEX FOR AGRICULTURE DEVELOPMENT - A Model Validation Perspective

Sumbangan Baja, Andi Ramlan, Muhammad Ramli

Abstract

The primary aim of this research is to develop and test fuzzy modeling procedures to assess spatial distribution of actual corn yields in the field in relation to land characteristics. This experiment implements a fuzzy set methodology to generate a land suitability index (LSI) for corn development. It also uses a direct yield record method in the fields, and utilizes geographic information systems (GIS) in spatial analysis, in synchrony with global positioning system (GPS). This study produced a set of spatial information on LSI on a cell-by-cell basis in the study area. A simple regression method was also employed to calculate spatial correlation between two sets of information (i.e., corn yield in kg/ha and fuzzy set-based LSI). Although the correlation coefficient (R2) is relatively low, the scatter points have shown a good indication that the higher the LSI the better yield can be produced in the area under consideration. Spatial interpolation was then undertaken to map predicted corn yields on a regional basis. Spatial segmentation of land area in form of a fuzzy-based land suitability index map can assist land managers or decision makers in allocating future corn cultivation area in the study region.

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Paper Citation


in Harvard Style

Baja S., Ramlan A. and Ramli M. (2011). SPATIAL-BASED FUZZY CLASSIFICATION OF LAND SUITABILITY INDEX FOR AGRICULTURE DEVELOPMENT - A Model Validation Perspective . In Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2011) ISBN 978-989-8425-83-6, pages 435-440. DOI: 10.5220/0003653604350440


in Bibtex Style

@conference{fcta11,
author={Sumbangan Baja and Andi Ramlan and Muhammad Ramli},
title={SPATIAL-BASED FUZZY CLASSIFICATION OF LAND SUITABILITY INDEX FOR AGRICULTURE DEVELOPMENT - A Model Validation Perspective},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2011)},
year={2011},
pages={435-440},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003653604350440},
isbn={978-989-8425-83-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications - Volume 1: FCTA, (IJCCI 2011)
TI - SPATIAL-BASED FUZZY CLASSIFICATION OF LAND SUITABILITY INDEX FOR AGRICULTURE DEVELOPMENT - A Model Validation Perspective
SN - 978-989-8425-83-6
AU - Baja S.
AU - Ramlan A.
AU - Ramli M.
PY - 2011
SP - 435
EP - 440
DO - 10.5220/0003653604350440