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

Authors

  • Basuti Bolo Botswana International University of Science & Technology http://orcid.org/0000-0003-1723-5108
  • Dimane Mpoeleng Botswana International University of Science and Technology
  • Irina Zlotnikova Botswana International University of Science and Technology

DOI:

https://doi.org/10.17700/jai.2018.9.3.472

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 Biographies

Basuti Bolo, Botswana International University of Science & Technology

College of Science

Dimane Mpoeleng, Botswana International University of Science and Technology

College of Science

Irina Zlotnikova, Botswana International University of Science and Technology

College of Science

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Published

2018-12-30

How to Cite

Bolo, B., Mpoeleng, D., & Zlotnikova, I. (2018). Geospatial information system land evaluation analysis for rainfed farming using multi-criteria decision analysis approach. Journal of Agricultural Informatics, 9(3). https://doi.org/10.17700/jai.2018.9.3.472

Issue

Section

Journal of Agricultural Informatics