Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya
Four proximal soil sensors were tested at four smallholder farms in Embu County, Kenya: a portable X-ray fluorescence sensor (PXRF), a mobile phone application for soil color determination by photography, a dual-depth electromagnetic induction (EMI) sensor, and a LED-based soil optical reflectance s...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
MDPI
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/78258 |
| _version_ | 1855527291900133376 |
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| author | Piikki, Kristin Söderström, Mats Eriksson, Jan Muturi, John Jamleck Muthee, Patrick Ireri Wetterlind, Johanna Lund, Eric |
| author_browse | Eriksson, Jan Lund, Eric Muthee, Patrick Ireri Muturi, John Jamleck Piikki, Kristin Söderström, Mats Wetterlind, Johanna |
| author_facet | Piikki, Kristin Söderström, Mats Eriksson, Jan Muturi, John Jamleck Muthee, Patrick Ireri Wetterlind, Johanna Lund, Eric |
| author_sort | Piikki, Kristin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Four proximal soil sensors were tested at four smallholder farms in Embu County, Kenya: a portable X-ray fluorescence sensor (PXRF), a mobile phone application for soil color determination by photography, a dual-depth electromagnetic induction (EMI) sensor, and a LED-based soil optical reflectance sensor. Measurements were made at 32–43 locations at each site. Topsoil samples were analyzed for plant-available nutrients (N, P, K, Mg, Ca, S, B, Mn, Zn, Cu, and Fe), pH, total nitrogen (TN) and total carbon (TC), soil texture, cation exchange capacity (CEC), and exchangeable aluminum (Al). Multivariate prediction models of each of the lab-analyzed soil properties were parameterized for 576 sensor-variable combinations. Prediction models for K, N, Ca and S, B, Zn, Mn, Fe, TC, Al, and CEC met the setup criteria for functional, robust, and accurate models. The PXRF sensor was the sensor most often included in successful models. We concluded that the combination of a PXRF and a portable soil reflectance sensor is a promising combination of handheld soil sensors for the development of in situ soil assessments as a field-based alternative or complement to laboratory measurements. |
| format | Journal Article |
| id | CGSpace78258 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace782582025-03-13T09:44:22Z Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya Piikki, Kristin Söderström, Mats Eriksson, Jan Muturi, John Jamleck Muthee, Patrick Ireri Wetterlind, Johanna Lund, Eric soil smallholders subsistence farming sensors sampling soils properties suelo agricultura de subsistencia sensores muestreo Four proximal soil sensors were tested at four smallholder farms in Embu County, Kenya: a portable X-ray fluorescence sensor (PXRF), a mobile phone application for soil color determination by photography, a dual-depth electromagnetic induction (EMI) sensor, and a LED-based soil optical reflectance sensor. Measurements were made at 32–43 locations at each site. Topsoil samples were analyzed for plant-available nutrients (N, P, K, Mg, Ca, S, B, Mn, Zn, Cu, and Fe), pH, total nitrogen (TN) and total carbon (TC), soil texture, cation exchange capacity (CEC), and exchangeable aluminum (Al). Multivariate prediction models of each of the lab-analyzed soil properties were parameterized for 576 sensor-variable combinations. Prediction models for K, N, Ca and S, B, Zn, Mn, Fe, TC, Al, and CEC met the setup criteria for functional, robust, and accurate models. The PXRF sensor was the sensor most often included in successful models. We concluded that the combination of a PXRF and a portable soil reflectance sensor is a promising combination of handheld soil sensors for the development of in situ soil assessments as a field-based alternative or complement to laboratory measurements. 2016 2016-12-09T20:19:12Z 2016-12-09T20:19:12Z Journal Article https://hdl.handle.net/10568/78258 en Open Access MDPI Piikki, Kristin; Söderström, Mats; Eriksson, Jan; Muturi, John Jamleck; Muthee, Patrick Ireri; Wetterlind, Johanna; Lund, Eric. 2016. Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya . Sensor. 16 (11): 1950. |
| spellingShingle | soil smallholders subsistence farming sensors sampling soils properties suelo agricultura de subsistencia sensores muestreo Piikki, Kristin Söderström, Mats Eriksson, Jan Muturi, John Jamleck Muthee, Patrick Ireri Wetterlind, Johanna Lund, Eric Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya |
| title | Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya |
| title_full | Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya |
| title_fullStr | Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya |
| title_full_unstemmed | Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya |
| title_short | Performance evaluation of proximal sensors for soil assessment in smallholder farms in Embu County, Kenya |
| title_sort | performance evaluation of proximal sensors for soil assessment in smallholder farms in embu county kenya |
| topic | soil smallholders subsistence farming sensors sampling soils properties suelo agricultura de subsistencia sensores muestreo |
| url | https://hdl.handle.net/10568/78258 |
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