Articles | Volume 7, issue 2
https://doi.org/10.5194/soil-7-717-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-7-717-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Original research article
| 
27 Oct 2021
Original research article |
| 27 Oct 2021
| 27 Oct 2021
Estimation of soil properties with mid-infrared soil spectroscopy across yam production landscapes in West Africa
Philipp Baumann
CORRESPONDING AUTHOR
Group of Sustainable Agroecosystems, Institute of Agricultural Sciences, ETH Zurich, 8092 Zürich, Switzerland
Juhwan Lee
Department of Smart Agro-industry, Gyeongsang National University, Jinju, 52725, Republic of Korea
Emmanuel Frossard
Group of Plant Nutrition, Institute of Agricultural Sciences, ETH Zurich, 8315 Lindau, Switzerland
Laurie Paule Schönholzer
Group of Plant Nutrition, Institute of Agricultural Sciences, ETH Zurich, 8315 Lindau, Switzerland
Lucien Diby
World Agroforestry Centre (ICRAF), Côte d’Ivoire Country Programme, BP 2823 Abidjan, Côte d’Ivoire
Valérie Kouamé Hgaza
Centre Suisse de Recherches Scientifiques en Côte d’Ivoire, 01 BP 1303 Abidjan, Côte d’Ivoire
Département d’Agrophysiologie des Plantes, Université Peleforo Gon Coulibaly, BP 1328 Korhogo, Côte d’Ivoire
Delwende Innocent Kiba
Group of Plant Nutrition, Institute of Agricultural Sciences, ETH Zurich, 8315 Lindau, Switzerland
Département Gestion des Ressources Naturelles et Systèmes de Production, Centre National de la Recherche Scientifique et Technologique, Institut de l'Environnement et Recherches Agricoles, 01 BP 476 Ouagadougou, Burkina Faso
Andrew Sila
Land Health Decisions, World Agroforestry Centre (ICRAF), Nairobi, Kenya
Keith Sheperd
Land Health Decisions, World Agroforestry Centre (ICRAF), Nairobi, Kenya
Johan Six
Group of Sustainable Agroecosystems, Institute of Agricultural Sciences, ETH Zurich, 8092 Zürich, Switzerland
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Cited
13 citations as recorded by crossref.
- A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy S. Mishra et al. https://doi.org/10.1038/s41598-025-98071-3
- Digital technologies for soil fertility evaluation and prediction in Africa: A review of application, adoption and challenges G. Gashu et al. https://doi.org/10.1016/j.geodrs.2026.e01085
- A novel multi-model estimation of phosphorus in coal and its ash using FTIR spectroscopy A. Vinod et al. https://doi.org/10.1038/s41598-024-63672-x
- Soil spectroscopy improves mid infrared soil property prediction through optimized preprocessing and variable selection R. Mokere et al. https://doi.org/10.3389/fsoil.2026.1760011
- Assessing the Health of Tropical Soils in Sub-Saharan Africa: Indicators, Challenges and Future Directions A. Ogou et al. https://doi.org/10.4236/ojss.2026.162002
- Soil Spectroscopy Evolution: A Review of Homemade Sensors, Benchtop Systems, and Mobile Instruments Coupled with Machine Learning Algorithms in Soil Diagnosis for Precision Agriculture R. Mokere et al. https://doi.org/10.1080/10408347.2024.2351820
- Revegetation is key for soil organic carbon sequestration on abandoned and degraded land in northern Spain M. Schneider et al. https://doi.org/10.1016/j.geodrs.2024.e00835
- From smallholder to commercial farming: the impact of termite mound levelling and spatial heterogeneity in mound morphology on soil organic carbon in Miombo woodlands, Central Africa X. Ou et al. https://doi.org/10.1007/s10980-025-02097-x
- All savanna islands of fertility are not equal: colonial birds influence soil nutrient stoichiometries with consequences for tree seedling growth T. Aikins et al. https://doi.org/10.1007/s11258-023-01333-1
- Gross Calorific Value Estimation in Coal Using Multi-Model FTIR and Machine Learning Approach A. Vinod et al. https://doi.org/10.3390/app152212209
- Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review N. Vullaganti et al. https://doi.org/10.1016/j.aiia.2025.02.001
- Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland S. Oberholzer et al. https://doi.org/10.5194/soil-10-231-2024
- Assessing the uncertainty of deep learning soil spectral models using Monte Carlo dropout J. Padarian et al. https://doi.org/10.1016/j.geoderma.2022.116063
13 citations as recorded by crossref.
- A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy S. Mishra et al. https://doi.org/10.1038/s41598-025-98071-3
- Digital technologies for soil fertility evaluation and prediction in Africa: A review of application, adoption and challenges G. Gashu et al. https://doi.org/10.1016/j.geodrs.2026.e01085
- A novel multi-model estimation of phosphorus in coal and its ash using FTIR spectroscopy A. Vinod et al. https://doi.org/10.1038/s41598-024-63672-x
- Soil spectroscopy improves mid infrared soil property prediction through optimized preprocessing and variable selection R. Mokere et al. https://doi.org/10.3389/fsoil.2026.1760011
- Assessing the Health of Tropical Soils in Sub-Saharan Africa: Indicators, Challenges and Future Directions A. Ogou et al. https://doi.org/10.4236/ojss.2026.162002
- Soil Spectroscopy Evolution: A Review of Homemade Sensors, Benchtop Systems, and Mobile Instruments Coupled with Machine Learning Algorithms in Soil Diagnosis for Precision Agriculture R. Mokere et al. https://doi.org/10.1080/10408347.2024.2351820
- Revegetation is key for soil organic carbon sequestration on abandoned and degraded land in northern Spain M. Schneider et al. https://doi.org/10.1016/j.geodrs.2024.e00835
- From smallholder to commercial farming: the impact of termite mound levelling and spatial heterogeneity in mound morphology on soil organic carbon in Miombo woodlands, Central Africa X. Ou et al. https://doi.org/10.1007/s10980-025-02097-x
- All savanna islands of fertility are not equal: colonial birds influence soil nutrient stoichiometries with consequences for tree seedling growth T. Aikins et al. https://doi.org/10.1007/s11258-023-01333-1
- Gross Calorific Value Estimation in Coal Using Multi-Model FTIR and Machine Learning Approach A. Vinod et al. https://doi.org/10.3390/app152212209
- Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review N. Vullaganti et al. https://doi.org/10.1016/j.aiia.2025.02.001
- Best performances of visible–near-infrared models in soils with little carbonate – a field study in Switzerland S. Oberholzer et al. https://doi.org/10.5194/soil-10-231-2024
- Assessing the uncertainty of deep learning soil spectral models using Monte Carlo dropout J. Padarian et al. https://doi.org/10.1016/j.geoderma.2022.116063
Saved (final revised paper)
Latest update: 15 Jun 2026
Short summary
This work delivers openly accessible and validated calibrations for diagnosing 26 soil properties based on mid-infrared spectroscopy. These were developed for four regions in Burkina Faso and Côte d'Ivoire, including 80 fields of smallholder farmers. The models can help to site-specifically and cost-efficiently monitor soil quality and fertility constraints to ameliorate soils and yields of yam or other staple crops in the four regions between the humid forest and the northern Guinean savanna.
This work delivers openly accessible and validated calibrations for diagnosing 26 soil...
