Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library
Routine soil chemical and physical laboratory analysis provides a better understanding of the soil by evaluating its quality and functions. Demands for the development of national Mid-infrared (MIR) spectral libraries for predicting soil attributes with high accuracy have risen substantially in the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Federation of Eurasian Soil Science Societies
2023-10-01
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| Series: | Eurasian Journal of Soil Science |
| Subjects: | |
| Online Access: | http://ejss.fesss.org/10.18393/ejss.1309753 |
| _version_ | 1797671801567838208 |
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| author | Mohammed Ahmed MohammedZein Adam Csorba Brian Rotich Phenson Nsima Justin Hanaa Tharwat Mohamed Erika Micheli |
| author_facet | Mohammed Ahmed MohammedZein Adam Csorba Brian Rotich Phenson Nsima Justin Hanaa Tharwat Mohamed Erika Micheli |
| author_sort | Mohammed Ahmed MohammedZein |
| collection | DOAJ |
| description | Routine soil chemical and physical laboratory analysis provides a better understanding of the soil by evaluating its quality and functions. Demands for the development of national Mid-infrared (MIR) spectral libraries for predicting soil attributes with high accuracy have risen substantially in the recent past. Such MIR spectral library is usually regarded as a fast, cheap and non-destructive technique for estimating soil properties compared to laboratory soil analysis. The main objective of this research was to assess the performance of the Hungarian MIR spectral library in estimating four soil properties namely: Cation Exchange Capacity (CEC), Exchangeable Mg and Ca and pH water at different scenarios. Archived soil samples were scanned and spectra data were saved in the Fourier transform infrared spectrometer OPUS software. Preprocessed filtering, outlier detection and calibration sample selection methods were applied to the spectral library. MIR calibration models were built for soil attributes using partial least square regression method and the models were validated with sample predictions. R2, RMSE and RPD were used to assess the goodness of calibration and validation models. MIR spectral library had the ability to estimate soil properties such as CEC and exchangeable Ca and Mg through various scale models (national, county and soil type). The findings showed that the Hungarian MIR spectral library for estimation of soil properties has the ability to provide good information on national, county and soil type scales at different levels of accuracy. |
| first_indexed | 2024-03-11T21:20:46Z |
| format | Article |
| id | doaj.art-45050ee1f52f4753af95c7ecfbbdf80d |
| institution | Directory Open Access Journal |
| issn | 2147-4249 |
| language | English |
| last_indexed | 2024-03-11T21:20:46Z |
| publishDate | 2023-10-01 |
| publisher | Federation of Eurasian Soil Science Societies |
| record_format | Article |
| series | Eurasian Journal of Soil Science |
| spelling | doaj.art-45050ee1f52f4753af95c7ecfbbdf80d2023-09-28T07:12:55ZengFederation of Eurasian Soil Science SocietiesEurasian Journal of Soil Science2147-42492023-10-0112430030910.18393/ejss.1309753Prediction of some selected soil properties using the Hungarian Mid-infrared spectral libraryMohammed Ahmed MohammedZein0Adam Csorba1Brian Rotich2Phenson Nsima Justin3Hanaa Tharwat Mohamed4Erika Micheli5Institute of Environmental Sciences, Department of Soil Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, HungaryInstitute of Environmental Sciences, Department of Soil Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, HungaryInstitute of Environmental Sciences, Department of Soil Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, HungaryPhenson Nsima JustinInstitute of Environmental Sciences, Department of Soil Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, HungaryInstitute of Environmental Sciences, Department of Soil Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, HungaryRoutine soil chemical and physical laboratory analysis provides a better understanding of the soil by evaluating its quality and functions. Demands for the development of national Mid-infrared (MIR) spectral libraries for predicting soil attributes with high accuracy have risen substantially in the recent past. Such MIR spectral library is usually regarded as a fast, cheap and non-destructive technique for estimating soil properties compared to laboratory soil analysis. The main objective of this research was to assess the performance of the Hungarian MIR spectral library in estimating four soil properties namely: Cation Exchange Capacity (CEC), Exchangeable Mg and Ca and pH water at different scenarios. Archived soil samples were scanned and spectra data were saved in the Fourier transform infrared spectrometer OPUS software. Preprocessed filtering, outlier detection and calibration sample selection methods were applied to the spectral library. MIR calibration models were built for soil attributes using partial least square regression method and the models were validated with sample predictions. R2, RMSE and RPD were used to assess the goodness of calibration and validation models. MIR spectral library had the ability to estimate soil properties such as CEC and exchangeable Ca and Mg through various scale models (national, county and soil type). The findings showed that the Hungarian MIR spectral library for estimation of soil properties has the ability to provide good information on national, county and soil type scales at different levels of accuracy.http://ejss.fesss.org/10.18393/ejss.1309753mid-infrared spectroscopysoil information monitoring systempartial least square regressionfourier transform infrared spectrometercoefficient determination |
| spellingShingle | Mohammed Ahmed MohammedZein Adam Csorba Brian Rotich Phenson Nsima Justin Hanaa Tharwat Mohamed Erika Micheli Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library Eurasian Journal of Soil Science mid-infrared spectroscopy soil information monitoring system partial least square regression fourier transform infrared spectrometer coefficient determination |
| title | Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library |
| title_full | Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library |
| title_fullStr | Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library |
| title_full_unstemmed | Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library |
| title_short | Prediction of some selected soil properties using the Hungarian Mid-infrared spectral library |
| title_sort | prediction of some selected soil properties using the hungarian mid infrared spectral library |
| topic | mid-infrared spectroscopy soil information monitoring system partial least square regression fourier transform infrared spectrometer coefficient determination |
| url | http://ejss.fesss.org/10.18393/ejss.1309753 |
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