Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP
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...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Cogent Food & Agriculture |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/23311932.2024.2333316 |
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| author | Emmanuely Z. Nungula Boniface J. Massawe Luciana R. Chappa Daniel M. Nhunda Mahmoud F. Seleiman Nawab Ali Harun I. Gitari |
| author_facet | Emmanuely Z. Nungula Boniface J. Massawe Luciana R. Chappa Daniel M. Nhunda Mahmoud F. Seleiman Nawab Ali Harun I. Gitari |
| author_sort | Emmanuely Z. Nungula |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-57cd31a32e774226afc8b6e293594f33 |
| institution | OA Journals |
| issn | 2331-1932 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Food & Agriculture |
| spelling | doaj-art-57cd31a32e774226afc8b6e293594f332025-08-20T01:58:52ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322024-12-0110110.1080/23311932.2024.2333316Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHPEmmanuely Z. Nungula0Boniface J. Massawe1Luciana R. Chappa2Daniel M. Nhunda3Mahmoud F. Seleiman4Nawab Ali5Harun I. Gitari6Department of Environment and Sustainable Development, Mzumbe University, Morogoro, TanzaniaDepartment of Soil and Geological Science, Sokoine University of Agriculture, Morogoro, TanzaniaDepartment of Environment and Sustainable Development, Mzumbe University, Morogoro, TanzaniaDepartment of Soil and Geological Science, Sokoine University of Agriculture, Morogoro, TanzaniaPlant Production Department, College of Food and Agriculture Sciences, King Saud University, Riyadh, Riyadh, Saudi ArabiaDepartment of Biosystems and Agricultural Engineering (BAE), College of Agriculture and Natural Resources, Michigan State University, East Lansing, MI, USADepartment of Agricultural Science and Technology, School of Agriculture and Environmental Science, Kenyatta University, Nairobi, KenyaLand 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.https://www.tandfonline.com/doi/10.1080/23311932.2024.2333316Suitability classArcGISmodelingland suitability assessmentanalytical hierarchy processManuel Tejada, Academic Editor, Universidad de Sevilla, Spain |
| spellingShingle | Emmanuely Z. Nungula Boniface J. Massawe Luciana R. Chappa Daniel M. Nhunda Mahmoud F. Seleiman Nawab Ali Harun I. Gitari Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP Cogent Food & Agriculture Suitability class ArcGIS modeling land suitability assessment analytical hierarchy process Manuel Tejada, Academic Editor, Universidad de Sevilla, Spain |
| title | Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP |
| title_full | Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP |
| title_fullStr | Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP |
| title_full_unstemmed | Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP |
| title_short | Multicriteria land suitability assessment for cassava and bean production using integration of GIS and AHP |
| title_sort | multicriteria land suitability assessment for cassava and bean production using integration of gis and ahp |
| topic | Suitability class ArcGIS modeling land suitability assessment analytical hierarchy process Manuel Tejada, Academic Editor, Universidad de Sevilla, Spain |
| url | https://www.tandfonline.com/doi/10.1080/23311932.2024.2333316 |
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