Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania
Cassava (Manihot esculenta) is an important staple crop for over half a billion people in Africa yet current yield at farmers’ field is only 20% of the potential yield. The African Cassava Agronomy Initiative (ACAI) project is initiated to mitigate the yield gap through developing site-specific reco...
| Autores principales: | , , , , , |
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| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
Global Cassava Partnership for the 21st Century
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/103421 |
| _version_ | 1855526563586506752 |
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| author | Alabi, T. Pypers, Pieter Chernet, M. Hauser, S. Kreye, C. Haertel, M. |
| author_browse | Alabi, T. Chernet, M. Haertel, M. Hauser, S. Kreye, C. Pypers, Pieter |
| author_facet | Alabi, T. Pypers, Pieter Chernet, M. Hauser, S. Kreye, C. Haertel, M. |
| author_sort | Alabi, T. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Cassava (Manihot esculenta) is an important staple crop for over half a billion people in Africa yet current yield at farmers’ field is only 20% of the potential yield. The African Cassava Agronomy Initiative (ACAI) project is initiated to mitigate the yield gap through developing site-specific recommendations based on a demand-driven approach. The project responds to specific agronomy-related needs of partners already engaged in cassava dissemination and value chain activities in Nigeria and Tanzania. ACAI is developing site-specific recommendation, where processing geospatial information related to climate, soil and remote sensing data is crucial. We are using spatial multivariate analysis to delineate our partners’ operational area into homogeneous clusters to ensure the representativeness of trial sites and optimize the number of trial sites for maximum operational efficiency. |
| format | Poster |
| id | CGSpace103421 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Global Cassava Partnership for the 21st Century |
| publisherStr | Global Cassava Partnership for the 21st Century |
| record_format | dspace |
| spelling | CGSpace1034212024-01-08T18:54:14Z Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania Alabi, T. Pypers, Pieter Chernet, M. Hauser, S. Kreye, C. Haertel, M. cassava agronomy nigeria tanzania Cassava (Manihot esculenta) is an important staple crop for over half a billion people in Africa yet current yield at farmers’ field is only 20% of the potential yield. The African Cassava Agronomy Initiative (ACAI) project is initiated to mitigate the yield gap through developing site-specific recommendations based on a demand-driven approach. The project responds to specific agronomy-related needs of partners already engaged in cassava dissemination and value chain activities in Nigeria and Tanzania. ACAI is developing site-specific recommendation, where processing geospatial information related to climate, soil and remote sensing data is crucial. We are using spatial multivariate analysis to delineate our partners’ operational area into homogeneous clusters to ensure the representativeness of trial sites and optimize the number of trial sites for maximum operational efficiency. 2018-06 2019-08-28T09:49:18Z 2019-08-28T09:49:18Z Poster https://hdl.handle.net/10568/103421 en Open Access application/pdf Global Cassava Partnership for the 21st Century Alabi, T., Pypers, P., Chernet, M., Hauser, S., Kreye, C. & Haertel, M. (2018). Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania. Poster session presented at: the GCP21 - IVth International Cassava Conference, at Cotonou Benin June 11-15; Cotonou, Benin. |
| spellingShingle | cassava agronomy nigeria tanzania Alabi, T. Pypers, Pieter Chernet, M. Hauser, S. Kreye, C. Haertel, M. Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania |
| title | Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania |
| title_full | Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania |
| title_fullStr | Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania |
| title_full_unstemmed | Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania |
| title_short | Using geospatial tools to optimize cassava agronomy trials in Nigeria and Tanzania |
| title_sort | using geospatial tools to optimize cassava agronomy trials in nigeria and tanzania |
| topic | cassava agronomy nigeria tanzania |
| url | https://hdl.handle.net/10568/103421 |
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