A scalable scheme to implement data-driven agriculture for small-scale farmers
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the...
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2019
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/103626 |
| _version_ | 1855523328471597056 |
|---|---|
| author | Jiménez, Daniel Delerce, Sylvain Jean Dorado, Hugo Andres Cock, James H. Muñoz, Luis Armando Agamez, Alejandro Jarvis, Andy |
| author_browse | Agamez, Alejandro Cock, James H. Delerce, Sylvain Jean Dorado, Hugo Andres Jarvis, Andy Jiménez, Daniel Muñoz, Luis Armando |
| author_facet | Jiménez, Daniel Delerce, Sylvain Jean Dorado, Hugo Andres Cock, James H. Muñoz, Luis Armando Agamez, Alejandro Jarvis, Andy |
| author_sort | Jiménez, Daniel |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers. This knowledge was then used to provide guidelines on management practices likely to produce high, stable yields. The effectiveness of the practices was confirmed in on-farm trials. The principles established can be applied to rainfed crops produced by small-scale farmers to better manage their crops with less risk of failure. |
| format | Journal Article |
| id | CGSpace103626 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1036262025-03-13T09:44:11Z A scalable scheme to implement data-driven agriculture for small-scale farmers Jiménez, Daniel Delerce, Sylvain Jean Dorado, Hugo Andres Cock, James H. Muñoz, Luis Armando Agamez, Alejandro Jarvis, Andy agriculture data machine learning aprendizaje electrónico colombia small scale farming pequeñas explotaciones The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers. This knowledge was then used to provide guidelines on management practices likely to produce high, stable yields. The effectiveness of the practices was confirmed in on-farm trials. The principles established can be applied to rainfed crops produced by small-scale farmers to better manage their crops with less risk of failure. 2019-12 2019-09-11T19:26:03Z 2019-09-11T19:26:03Z Journal Article https://hdl.handle.net/10568/103626 en Open Access Elsevier Jiménez, Daniel; Delerce, Sylvain; Dorado, Hugo; Cock, James ; Muñoz, Luis Armando ; Agamez, Alejandro & Jarvis, Andy (2019). A scalable scheme to implement data-driven agriculture for small-scale farmers. Global Food Security. 23: 256-266 |
| spellingShingle | agriculture data machine learning aprendizaje electrónico colombia small scale farming pequeñas explotaciones Jiménez, Daniel Delerce, Sylvain Jean Dorado, Hugo Andres Cock, James H. Muñoz, Luis Armando Agamez, Alejandro Jarvis, Andy A scalable scheme to implement data-driven agriculture for small-scale farmers |
| title | A scalable scheme to implement data-driven agriculture for small-scale farmers |
| title_full | A scalable scheme to implement data-driven agriculture for small-scale farmers |
| title_fullStr | A scalable scheme to implement data-driven agriculture for small-scale farmers |
| title_full_unstemmed | A scalable scheme to implement data-driven agriculture for small-scale farmers |
| title_short | A scalable scheme to implement data-driven agriculture for small-scale farmers |
| title_sort | scalable scheme to implement data driven agriculture for small scale farmers |
| topic | agriculture data machine learning aprendizaje electrónico colombia small scale farming pequeñas explotaciones |
| url | https://hdl.handle.net/10568/103626 |
| work_keys_str_mv | AT jimenezdaniel ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT delercesylvainjean ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT doradohugoandres ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT cockjamesh ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT munozluisarmando ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT agamezalejandro ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT jarvisandy ascalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT jimenezdaniel scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT delercesylvainjean scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT doradohugoandres scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT cockjamesh scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT munozluisarmando scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT agamezalejandro scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers AT jarvisandy scalableschemetoimplementdatadrivenagricultureforsmallscalefarmers |