A soil water and solute learning system for small-scale irrigators in Africa
Better yields of high-value crops are necessary for a profitable irrigation industry in sub-Saharan Africa. We introduced two simple tools, the Chameleon soil moisture sensor and the FullStop wetting front detector, which represent soil water, nitrate and salt levels in the soil by displaying differ...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2017
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/96982 |
| _version_ | 1855513106308923392 |
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| author | Stirzaker, Richard Mbakwe, Ikenna Mziray, Nuru Ressa |
| author_browse | Mbakwe, Ikenna Mziray, Nuru Ressa Stirzaker, Richard |
| author_facet | Stirzaker, Richard Mbakwe, Ikenna Mziray, Nuru Ressa |
| author_sort | Stirzaker, Richard |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Better yields of high-value crops are necessary for a profitable irrigation industry in sub-Saharan Africa. We introduced two simple tools, the Chameleon soil moisture sensor and the FullStop wetting front detector, which represent soil water, nitrate and salt levels in the soil by displaying different colours. These tools form the basis of an experiential learning system for small-scale irrigators. We found that farmers quickly learned from the tools and changed their management within a short time. The cost of implementing a learning system would be a small fraction of that of building or revitalizing irrigation schemes. |
| format | Journal Article |
| id | CGSpace96982 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace969822024-02-29T09:08:22Z A soil water and solute learning system for small-scale irrigators in Africa Stirzaker, Richard Mbakwe, Ikenna Mziray, Nuru Ressa virtual irrigation academy chameleon sensor fullstop wetting front detector social learning irrigation scheduling development Better yields of high-value crops are necessary for a profitable irrigation industry in sub-Saharan Africa. We introduced two simple tools, the Chameleon soil moisture sensor and the FullStop wetting front detector, which represent soil water, nitrate and salt levels in the soil by displaying different colours. These tools form the basis of an experiential learning system for small-scale irrigators. We found that farmers quickly learned from the tools and changed their management within a short time. The cost of implementing a learning system would be a small fraction of that of building or revitalizing irrigation schemes. 2017-09-03 2018-08-28T13:34:02Z 2018-08-28T13:34:02Z Journal Article https://hdl.handle.net/10568/96982 en Open Access application/pdf Informa UK Limited Stirzaker, Richard; Mbakwe,Ikenna; Mziray, Nuru Ressa. 2017. A soil water and solute learning system for small-scale irrigators in Africa, International Journal of Water Resources Development, 33:5, 788-803, DOI: 10.1080/07900627.2017.1320981 |
| spellingShingle | virtual irrigation academy chameleon sensor fullstop wetting front detector social learning irrigation scheduling development Stirzaker, Richard Mbakwe, Ikenna Mziray, Nuru Ressa A soil water and solute learning system for small-scale irrigators in Africa |
| title | A soil water and solute learning system for small-scale irrigators in Africa |
| title_full | A soil water and solute learning system for small-scale irrigators in Africa |
| title_fullStr | A soil water and solute learning system for small-scale irrigators in Africa |
| title_full_unstemmed | A soil water and solute learning system for small-scale irrigators in Africa |
| title_short | A soil water and solute learning system for small-scale irrigators in Africa |
| title_sort | soil water and solute learning system for small scale irrigators in africa |
| topic | virtual irrigation academy chameleon sensor fullstop wetting front detector social learning irrigation scheduling development |
| url | https://hdl.handle.net/10568/96982 |
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