Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia
Physical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops. Maize is one of stable one food crops of Ethiopia and cultivated in three agroecological zones: highland, midland and lowlands. D...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-01-01
|
| Series: | Artificial Intelligence in Agriculture |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721722000022 |
| _version_ | 1828266266652049408 |
|---|---|
| author | Mitiku Badasa Moisa Firdissa Sadeta Tiye Indale Niguse Dejene Dessalegn Obsi Gemeda |
| author_facet | Mitiku Badasa Moisa Firdissa Sadeta Tiye Indale Niguse Dejene Dessalegn Obsi Gemeda |
| author_sort | Mitiku Badasa Moisa |
| collection | DOAJ |
| description | Physical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops. Maize is one of stable one food crops of Ethiopia and cultivated in three agroecological zones: highland, midland and lowlands. Despite these facts, maize yield is very low due to a lack of knowledge and information gaps on land suitability. Physical land suitability for maize cultivation is essential to minimize the problem of food security. The present study aims to identify the potential land suitability for maize production in the Didessa watershed, Western Ethiopia using Multi-Criteria Evaluation (MCE) and geospatial technologies. Land use land cover (LULC) change, climate, topography, soil, and infrastructure facilities were considered for maize land suitability assessment. The MCE based pairwise comparison matrix was applied to estimate land suitability for maize crop cultivation. The results showed that, about 977.7 km2 (14.1%) is highly suitable, 4794.9 km2(69.1%) is moderately suitable while 1118.8 km2 (16.1%), and 51.5 km2 (0.7%) of the study area were categorized under marginally and not suitable for maize production, respectively. This research provides crucial information for decision making organs and the farming community to utilize potential areas for maize cultivation. |
| first_indexed | 2024-04-13T04:50:04Z |
| format | Article |
| id | doaj.art-c5e8324685974a9bb600b548959de388 |
| institution | Directory Open Access Journal |
| issn | 2589-7217 |
| language | English |
| last_indexed | 2024-04-13T04:50:04Z |
| publishDate | 2022-01-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Artificial Intelligence in Agriculture |
| spelling | doaj.art-c5e8324685974a9bb600b548959de3882022-12-22T03:01:42ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172022-01-0163446Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, EthiopiaMitiku Badasa Moisa0Firdissa Sadeta Tiye1Indale Niguse Dejene2Dessalegn Obsi Gemeda3Department of Agricultural Engineering, Faculty of Technology, Wollega University, Shambu Campus, Ethiopia; Corresponding author.Department of Geography and Environmental Studies, College of Social Sciences and Humanities, Wollega University, Gimbi Campus, EthiopiaDepartment of Earth Sciences, College of Natural and Computational Sciences, Wollega University, Nekemte Campus, EthiopiaDepartment of Natural Resources Management, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, EthiopiaPhysical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops. Maize is one of stable one food crops of Ethiopia and cultivated in three agroecological zones: highland, midland and lowlands. Despite these facts, maize yield is very low due to a lack of knowledge and information gaps on land suitability. Physical land suitability for maize cultivation is essential to minimize the problem of food security. The present study aims to identify the potential land suitability for maize production in the Didessa watershed, Western Ethiopia using Multi-Criteria Evaluation (MCE) and geospatial technologies. Land use land cover (LULC) change, climate, topography, soil, and infrastructure facilities were considered for maize land suitability assessment. The MCE based pairwise comparison matrix was applied to estimate land suitability for maize crop cultivation. The results showed that, about 977.7 km2 (14.1%) is highly suitable, 4794.9 km2(69.1%) is moderately suitable while 1118.8 km2 (16.1%), and 51.5 km2 (0.7%) of the study area were categorized under marginally and not suitable for maize production, respectively. This research provides crucial information for decision making organs and the farming community to utilize potential areas for maize cultivation.http://www.sciencedirect.com/science/article/pii/S2589721722000022Agricultural productionLULCLand suitabilityOverlay analysisPairwise comparison |
| spellingShingle | Mitiku Badasa Moisa Firdissa Sadeta Tiye Indale Niguse Dejene Dessalegn Obsi Gemeda Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia Artificial Intelligence in Agriculture Agricultural production LULC Land suitability Overlay analysis Pairwise comparison |
| title | Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia |
| title_full | Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia |
| title_fullStr | Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia |
| title_full_unstemmed | Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia |
| title_short | Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia |
| title_sort | land suitability analysis for maize production using geospatial technologies in the didessa watershed ethiopia |
| topic | Agricultural production LULC Land suitability Overlay analysis Pairwise comparison |
| url | http://www.sciencedirect.com/science/article/pii/S2589721722000022 |
| work_keys_str_mv | AT mitikubadasamoisa landsuitabilityanalysisformaizeproductionusinggeospatialtechnologiesinthedidessawatershedethiopia AT firdissasadetatiye landsuitabilityanalysisformaizeproductionusinggeospatialtechnologiesinthedidessawatershedethiopia AT indalenigusedejene landsuitabilityanalysisformaizeproductionusinggeospatialtechnologiesinthedidessawatershedethiopia AT dessalegnobsigemeda landsuitabilityanalysisformaizeproductionusinggeospatialtechnologiesinthedidessawatershedethiopia |