Multicriteria Land Suitability Assessment for Cassava and Bean Production using Integration of GIS and AHP
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Date
2024-03
Authors
Nungula, Emmanuely Z.
Massawe, Boniface J.
Chappa, Luciana R.
Nhunda, Daniel M.
Seleiman, Mahmoud F.
Ali, Nawab
Gitari, Harun I.
Journal Title
Journal ISSN
Volume Title
Publisher
Tylor and Francis
Abstract
Land valuation is essential for developing land use planning and achieving efficient land use,
food security, and poverty reduction. This study aimed to assess land suitability for cassava
and bean production using the multicriteria decision analysis AHP technique and GIS. Land
suitability analysis considers factors affecting crop growth and development, particularly in
producing beans and cassava. The Analytical Hierarchy Process (AHP) model was used to
determine the importance of main and sub-criteria parameters. ArcGIS software was used to
create crop suitability distribution maps for bean and cassava production. Each parameter was
subjected to pair-wise comparison by employing the Analytical Hierarchy Process (AHP). The
study found that the southern region displayed a vastly suitable level of 38% and 46% for
beans and cassava, respectively. Farmers can use the comprehensive data to decide whether
to plant beans and cassava on their lands, increasing revenue while preserving soil quality
management. The GIS-AHP integration approach was suggested to determine optimal
decisions based on chosen criteria.
Description
Article
Keywords
Suitability class, ArcGIS, modeling, land suitability assessment, analytical hierarchy process
Citation
Nungula, E. Z., Massawe, B. J., Chappa, L. R., Nhunda, D. M., Seleiman, M. F., Ali, N., & Gitari, H. I. (2024). Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP. Cogent Food & Agriculture, 10(1), 2333316.