Multicriteria Land Suitability Assessment for Cassava and Bean Production using Integration of GIS and AHP

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dc.contributor.authorNungula, Emmanuely Z.
dc.contributor.authorMassawe, Boniface J.
dc.contributor.authorChappa, Luciana R.
dc.contributor.authorNhunda, Daniel M.
dc.contributor.authorSeleiman, Mahmoud F.
dc.contributor.authorAli, Nawab
dc.contributor.authorGitari, Harun I.
dc.date.accessioned2024-04-03T12:46:15Z
dc.date.available2024-04-03T12:46:15Z
dc.date.issued2024-03
dc.descriptionArticleen_US
dc.description.abstractLand 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.en_US
dc.description.sponsorshipThis work was supported by the Researchers Supporting Project of King Saud University, Riyadh, Saudi Arabia [RSPD2024R751].en_US
dc.identifier.citationNungula, 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.en_US
dc.identifier.otherDOI: 10.1080/23311932.2024.2333316
dc.identifier.urihttps://ir-library.ku.ac.ke/handle/123456789/27788
dc.language.isoenen_US
dc.publisherTylor and Francisen_US
dc.subjectSuitability classen_US
dc.subjectArcGISen_US
dc.subjectmodelingen_US
dc.subjectland suitability assessmenten_US
dc.subjectanalytical hierarchy processen_US
dc.titleMulticriteria Land Suitability Assessment for Cassava and Bean Production using Integration of GIS and AHPen_US
dc.typeArticleen_US
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