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René Gislum

Comparing predictive ability of laser-induced breakdown spectroscopy to visible near-infrared spectroscopy for soil property determination

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Comparing predictive ability of laser-induced breakdown spectroscopy to visible near-infrared spectroscopy for soil property determination. / Knadel, Maria; Gislum, René; Hermansen, Cecilie; Peng, Yi; Møldrup, Per; de Jonge, Lis Wollesen; Greve, Mogens Humlekrog.

In: Biosystems Engineering, Vol. 156, 2017, p. 157-172.

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@article{0de5a27befba480cb11380df6f9f0de8,
title = "Comparing predictive ability of laser-induced breakdown spectroscopy to visible near-infrared spectroscopy for soil property determination",
abstract = "Soil organic carbon (SOC) and particle size fractions have a practical value for agronomy and the environment. Thus, alternative techniques to replace the expensive conventional analyses of soil are needed. Visible near-infrared reflectance spectroscopy (viseNIRS) has already shown potential for becoming an alternative method for soil analysis since it is faster and cheaper than conventional methods. Laser-induced breakdown spectroscopy (LIBS) is another cost-effective technique with potential for rapid analysis of elements present in the soil. In this study, the feasibility of using LIBS to determine SOC, clay, silt and sand contents of Danish agricultural soils was tested and compared with the viseNIRS method. First, country-scale Partial Least Squares (PLS) regression models on soils collected across Denmark (N ¼ 78) were built and validated using independent field samples (N ¼ 54). Secondly, the country-scale calibration data set was spiked with 14 representative samples from the fields and validated with the 54 field samples. Generated country-scale LIBS models exhibited similar and not significantly different (p > 0.05) results to viseNIRS for all soil properties except a significantly higher (p ¼ 0.0305) predictive ability for sand. Spiking improved the accuracy of most of the LIBS and viseNIRS models, indicating the importance of similarities between the calibration and the validation data sets. No significant differences (p > 0.05) were found between the LIBS and viseNIRS spiked country-scale models. Lower prediction errors for most properties were obtained using LIBS, rendering it an equally good or even a more accurate technique for soil properties determination than the well-established viseNIRS method.",
author = "Maria Knadel and Ren{\'e} Gislum and Cecilie Hermansen and Yi Peng and Per M{\o}ldrup and {de Jonge}, {Lis Wollesen} and Greve, {Mogens Humlekrog}",
year = "2017",
doi = "10.1016/j.biosystemseng.2017.01.007",
language = "English",
volume = "156",
pages = "157--172",
journal = "Biosystems Engineering",
issn = "1537-5110",
publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - Comparing predictive ability of laser-induced breakdown spectroscopy to visible near-infrared spectroscopy for soil property determination

AU - Knadel, Maria

AU - Gislum, René

AU - Hermansen, Cecilie

AU - Peng, Yi

AU - Møldrup, Per

AU - de Jonge, Lis Wollesen

AU - Greve, Mogens Humlekrog

PY - 2017

Y1 - 2017

N2 - Soil organic carbon (SOC) and particle size fractions have a practical value for agronomy and the environment. Thus, alternative techniques to replace the expensive conventional analyses of soil are needed. Visible near-infrared reflectance spectroscopy (viseNIRS) has already shown potential for becoming an alternative method for soil analysis since it is faster and cheaper than conventional methods. Laser-induced breakdown spectroscopy (LIBS) is another cost-effective technique with potential for rapid analysis of elements present in the soil. In this study, the feasibility of using LIBS to determine SOC, clay, silt and sand contents of Danish agricultural soils was tested and compared with the viseNIRS method. First, country-scale Partial Least Squares (PLS) regression models on soils collected across Denmark (N ¼ 78) were built and validated using independent field samples (N ¼ 54). Secondly, the country-scale calibration data set was spiked with 14 representative samples from the fields and validated with the 54 field samples. Generated country-scale LIBS models exhibited similar and not significantly different (p > 0.05) results to viseNIRS for all soil properties except a significantly higher (p ¼ 0.0305) predictive ability for sand. Spiking improved the accuracy of most of the LIBS and viseNIRS models, indicating the importance of similarities between the calibration and the validation data sets. No significant differences (p > 0.05) were found between the LIBS and viseNIRS spiked country-scale models. Lower prediction errors for most properties were obtained using LIBS, rendering it an equally good or even a more accurate technique for soil properties determination than the well-established viseNIRS method.

AB - Soil organic carbon (SOC) and particle size fractions have a practical value for agronomy and the environment. Thus, alternative techniques to replace the expensive conventional analyses of soil are needed. Visible near-infrared reflectance spectroscopy (viseNIRS) has already shown potential for becoming an alternative method for soil analysis since it is faster and cheaper than conventional methods. Laser-induced breakdown spectroscopy (LIBS) is another cost-effective technique with potential for rapid analysis of elements present in the soil. In this study, the feasibility of using LIBS to determine SOC, clay, silt and sand contents of Danish agricultural soils was tested and compared with the viseNIRS method. First, country-scale Partial Least Squares (PLS) regression models on soils collected across Denmark (N ¼ 78) were built and validated using independent field samples (N ¼ 54). Secondly, the country-scale calibration data set was spiked with 14 representative samples from the fields and validated with the 54 field samples. Generated country-scale LIBS models exhibited similar and not significantly different (p > 0.05) results to viseNIRS for all soil properties except a significantly higher (p ¼ 0.0305) predictive ability for sand. Spiking improved the accuracy of most of the LIBS and viseNIRS models, indicating the importance of similarities between the calibration and the validation data sets. No significant differences (p > 0.05) were found between the LIBS and viseNIRS spiked country-scale models. Lower prediction errors for most properties were obtained using LIBS, rendering it an equally good or even a more accurate technique for soil properties determination than the well-established viseNIRS method.

U2 - 10.1016/j.biosystemseng.2017.01.007

DO - 10.1016/j.biosystemseng.2017.01.007

M3 - Journal article

VL - 156

SP - 157

EP - 172

JO - Biosystems Engineering

JF - Biosystems Engineering

SN - 1537-5110

ER -