干旱区生态环境知识资源中心(Arid): Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate

Arid

DOI	10.1016/j.biosystemseng.2020.11.007
	Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate
	Alomar, Samer; Mireei, Seyed Ahmad; Hemmat, Abbas; Masoumi, Amin Allah; Khademi, Hossein
通讯作者	Mireei, SA (corresponding author), Isfahan Univ Technol, Coll Agr, Dept Biosyst Engn, Esfahan 8415683111, Iran.
来源期刊	BIOSYSTEMS ENGINEERING
ISSN	1537-5110
EISSN	1537-5129
出版年	2021
卷号	201 页码:50-66
英文摘要	The lab spectroscopy using Vis/SWNIR and NIR spectrometers was used to estimate the major fertility parameters in calcareous topsoil from arid region of central Iran. The fertility parameters included soil organic matter (SOM), total nitrogen (TN), available phosphorus (P-avl), and available potassium (K-avl). A total of 151 samples were collected from the depth of 0-20 cm, and the diffuse reflectance spectra of them were collected using charge-coupled device (CCD) and indium-gallium-arsenide (InGaAs) spectrometers. To extract the prediction models, partial least squares (PLS) as linear, and artificial neural networks (ANN) and support vector machines (SVM) as nonlinear multivariate techniques were used. The CCD-based spectra combined with the ANN model led to excellent predictability for SOM (residual predictive deviation (RPD) = 2.60), TN (RPD = 2.54), and P-avl (RPD = 3.01) and very good prediction for K-avl (RPD = 2.02). However, the InGaAs-based spectrometer outperformed the CCD one for predicting all the soil fertility parameters. The best prediction models were obtained from the nonlinear multivariate techniques where the excellent predictions were provided by the ANN model for SOM (R-p(2) = 0.941; RPD = 3.27), R-avl (R-p(2) = 0.902; RPD = 3.34), and K-avl (R-p(2) = 0.863; RPD = 2.69) and by SVM for TN (R-p(2) = 0.863; RPD = 2.91). This study revealed that despite the great potential of InGaAs spectrometers for predicting the soil fertility parameters, the low-cost CCD-based spectrometer could result in satisfactory performance when the appropriate nonlinear technique is used for data analysis. (C) 2020 IAgrE. Published by Elsevier Ltd. All rights reserved.
英文关键词	Artificial neural networks Charge-coupled device Indium-gallium-arsenide Reflectance spectroscopy Spectrometer
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000607168500005
WOS关键词	DIFFUSE-REFLECTANCE SPECTROSCOPY ; NEAR-INFRARED SPECTROSCOPY ; ORGANIC-CARBON ; CLAY CONTENT ; PREDICTION ; PROPAGATION ; REGRESSION ; NITROGEN ; FIELDS ; MATTER
WOS类目	Agricultural Engineering ; Agriculture, Multidisciplinary
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347761
作者单位	[Alomar, Samer; Mireei, Seyed Ahmad; Hemmat, Abbas; Masoumi, Amin Allah] Isfahan Univ Technol, Coll Agr, Dept Biosyst Engn, Esfahan 8415683111, Iran; [Khademi, Hossein] Isfahan Univ Technol, Coll Agr, Dept Soil Sci, Esfahan 8415683111, Iran
推荐引用方式 GB/T 7714	Alomar, Samer,Mireei, Seyed Ahmad,Hemmat, Abbas,et al. Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate[J],2021,201:50-66.
APA	Alomar, Samer,Mireei, Seyed Ahmad,Hemmat, Abbas,Masoumi, Amin Allah,&Khademi, Hossein.(2021).Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate.BIOSYSTEMS ENGINEERING,201,50-66.
MLA	Alomar, Samer,et al."Comparison of Vis/SWNIR and NIR spectrometers combined with different multivariate techniques for estimating soil fertility parameters of calcareous topsoil in an arid climate".BIOSYSTEMS ENGINEERING 201(2021):50-66.