Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool
We have influenced and supported the Ministry of Agriculture to develop and launch soils/agronomy data sharing policy for the first time. Currently, CIAT/WLE, GIZ and partners in collaboration with CABI are developing a guideline to support implementation of the policy. We are also advancing to deve...
| Autor principal: | |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2019
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| Acceso en línea: | https://hdl.handle.net/10568/122671 |
| _version_ | 1855542691051339776 |
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| author | CGIAR Research Program on Water, Land and Ecosystems |
| author_browse | CGIAR Research Program on Water, Land and Ecosystems |
| author_facet | CGIAR Research Program on Water, Land and Ecosystems |
| author_sort | CGIAR Research Program on Water, Land and Ecosystems |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | We have influenced and supported the Ministry of Agriculture to develop and launch soils/agronomy data sharing policy for the first time. Currently, CIAT/WLE, GIZ and partners in collaboration with CABI are developing a guideline to support implementation of the policy. We are also advancing to develop site- specific fertilizer recommendation. |
| format | Informe técnico |
| id | CGSpace122671 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| record_format | dspace |
| spelling | CGSpace1226712023-03-14T12:32:42Z Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool CGIAR Research Program on Water, Land and Ecosystems agriculture farmers development rural development data agronomy collaboration systems agrifood systems time application implementation We have influenced and supported the Ministry of Agriculture to develop and launch soils/agronomy data sharing policy for the first time. Currently, CIAT/WLE, GIZ and partners in collaboration with CABI are developing a guideline to support implementation of the policy. We are also advancing to develop site- specific fertilizer recommendation. 2019-12-31 2022-10-06T14:04:32Z 2022-10-06T14:04:32Z Report https://hdl.handle.net/10568/122671 en Open Access application/pdf CGIAR Research Program on Water, Land and Ecosystems. 2019. Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool. Reported in Water, Land and Ecosystems Annual Report 2019. Innovations. |
| spellingShingle | agriculture farmers development rural development data agronomy collaboration systems agrifood systems time application implementation CGIAR Research Program on Water, Land and Ecosystems Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool |
| title | Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool |
| title_full | Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool |
| title_fullStr | Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool |
| title_full_unstemmed | Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool |
| title_short | Application of Big Data Analytics to Consolidate Fertilizer Trial Data into a Farmer-Support Tool |
| title_sort | application of big data analytics to consolidate fertilizer trial data into a farmer support tool |
| topic | agriculture farmers development rural development data agronomy collaboration systems agrifood systems time application implementation |
| url | https://hdl.handle.net/10568/122671 |
| work_keys_str_mv | AT cgiarresearchprogramonwaterlandandecosystems applicationofbigdataanalyticstoconsolidatefertilizertrialdataintoafarmersupporttool |