Empowerment of the export banana sector in decision-making based on data mining for agriculture.
Two farmers’ organization (Grupo Santa Maria and Augura) that represent the banana sector in northern Colombia, with more than 34.560 ha has started to use advanced methods in data collection, analysis for improving climate smart decision-making
| Autor principal: | |
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| Formato: | Case Study |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/121261 |
| _version_ | 1855524309221507072 |
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| author | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_browse | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_facet | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_sort | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Two farmers’ organization (Grupo Santa Maria and Augura) that represent the banana sector in northern Colombia, with more than 34.560 ha has started to use advanced methods in data collection, analysis for improving climate smart decision-making |
| format | Case Study |
| id | CGSpace121261 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | CGSpace1212612023-03-14T13:22:59Z Empowerment of the export banana sector in decision-making based on data mining for agriculture. CGIAR Research Program on Climate Change, Agriculture and Food Security agriculture farmers climate data collection methods data analysis empowerment mining colombia bananas collection data mining exports case studies agrifood systems rural development Two farmers’ organization (Grupo Santa Maria and Augura) that represent the banana sector in northern Colombia, with more than 34.560 ha has started to use advanced methods in data collection, analysis for improving climate smart decision-making 2018-12-31 2022-09-12T11:56:02Z 2022-09-12T11:56:02Z Case Study https://hdl.handle.net/10568/121261 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security. 2018. Empowerment of the export banana sector in decision-making based on data mining for agriculture.. Reported in Climate Change, Agriculture and Food Security Annual Report 2018. Outcome Impact Case Report. |
| spellingShingle | agriculture farmers climate data collection methods data analysis empowerment mining colombia bananas collection data mining exports case studies agrifood systems rural development CGIAR Research Program on Climate Change, Agriculture and Food Security Empowerment of the export banana sector in decision-making based on data mining for agriculture. |
| title | Empowerment of the export banana sector in decision-making based on data mining for agriculture. |
| title_full | Empowerment of the export banana sector in decision-making based on data mining for agriculture. |
| title_fullStr | Empowerment of the export banana sector in decision-making based on data mining for agriculture. |
| title_full_unstemmed | Empowerment of the export banana sector in decision-making based on data mining for agriculture. |
| title_short | Empowerment of the export banana sector in decision-making based on data mining for agriculture. |
| title_sort | empowerment of the export banana sector in decision making based on data mining for agriculture |
| topic | agriculture farmers climate data collection methods data analysis empowerment mining colombia bananas collection data mining exports case studies agrifood systems rural development |
| url | https://hdl.handle.net/10568/121261 |
| work_keys_str_mv | AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity empowermentoftheexportbananasectorindecisionmakingbasedondataminingforagriculture |