Geospatial information system land evaluation analysis for rainfed farming using multi-criteria decision analysis approach

Research output: Contribution to journalArticle

Abstract

This paper aims to develop a geospatial information system based land evaluation method for rainfed farming. To produce geospatial information of potential areas for sorghum using Multi-Criteria Decision Analysis (MCDA) approach. The land suitability is based on the biophysical and soil factors. The analysis aimed at the production of geospatial information displayed in maps and a graph showing potential areas that are suitable for rainfed farming. A fuzzy modeling decision analysis tool integrated with map algebra expression ADD (+) Geographical Information System (GIS) analysis operation was used to combine the information from several criteria to form a single suitability map. The results showed the land parcels that are suitable, marginal suitable and non-suitable for sorghum. The suitability map was overlaid with the existing land use to identify areas that are plowed for sorghum that are on suitable areas.
Original languageEnglish
Pages (from-to)36-44
Number of pages9
JournalJournal of Agricultural Informatics
Volume9
Issue number3
DOIs
Publication statusPublished - 2018

Fingerprint

land evaluation
decision analysis
information system
sorghum
systems analysis
GIS
land use
analysis
modeling
soil
land

Cite this

@article{f94f8b98981c4d2ab50cdd1bb18242b1,
title = "Geospatial information system land evaluation analysis for rainfed farming using multi-criteria decision analysis approach",
abstract = "This paper aims to develop a geospatial information system based land evaluation method for rainfed farming. To produce geospatial information of potential areas for sorghum using Multi-Criteria Decision Analysis (MCDA) approach. The land suitability is based on the biophysical and soil factors. The analysis aimed at the production of geospatial information displayed in maps and a graph showing potential areas that are suitable for rainfed farming. A fuzzy modeling decision analysis tool integrated with map algebra expression ADD (+) Geographical Information System (GIS) analysis operation was used to combine the information from several criteria to form a single suitability map. The results showed the land parcels that are suitable, marginal suitable and non-suitable for sorghum. The suitability map was overlaid with the existing land use to identify areas that are plowed for sorghum that are on suitable areas.",
author = "Basuti Bolo and Dimane Mpoeleng and Irina Zlotnikova",
year = "2018",
doi = "10.17700/jai.2018.9.3.472",
language = "English",
volume = "9",
pages = "36--44",
journal = "Journal of Agricultural Informatics",
issn = "2061-862X",
number = "3",

}

TY - JOUR

T1 - Geospatial information system land evaluation analysis for rainfed farming using multi-criteria decision analysis approach

AU - Bolo, Basuti

AU - Mpoeleng, Dimane

AU - Zlotnikova, Irina

PY - 2018

Y1 - 2018

N2 - This paper aims to develop a geospatial information system based land evaluation method for rainfed farming. To produce geospatial information of potential areas for sorghum using Multi-Criteria Decision Analysis (MCDA) approach. The land suitability is based on the biophysical and soil factors. The analysis aimed at the production of geospatial information displayed in maps and a graph showing potential areas that are suitable for rainfed farming. A fuzzy modeling decision analysis tool integrated with map algebra expression ADD (+) Geographical Information System (GIS) analysis operation was used to combine the information from several criteria to form a single suitability map. The results showed the land parcels that are suitable, marginal suitable and non-suitable for sorghum. The suitability map was overlaid with the existing land use to identify areas that are plowed for sorghum that are on suitable areas.

AB - This paper aims to develop a geospatial information system based land evaluation method for rainfed farming. To produce geospatial information of potential areas for sorghum using Multi-Criteria Decision Analysis (MCDA) approach. The land suitability is based on the biophysical and soil factors. The analysis aimed at the production of geospatial information displayed in maps and a graph showing potential areas that are suitable for rainfed farming. A fuzzy modeling decision analysis tool integrated with map algebra expression ADD (+) Geographical Information System (GIS) analysis operation was used to combine the information from several criteria to form a single suitability map. The results showed the land parcels that are suitable, marginal suitable and non-suitable for sorghum. The suitability map was overlaid with the existing land use to identify areas that are plowed for sorghum that are on suitable areas.

U2 - 10.17700/jai.2018.9.3.472

DO - 10.17700/jai.2018.9.3.472

M3 - Article

VL - 9

SP - 36

EP - 44

JO - Journal of Agricultural Informatics

JF - Journal of Agricultural Informatics

SN - 2061-862X

IS - 3

ER -