Combining multivariate method and spectral variable selection for soil total nitrogen estimation by Vis–NIR spectroscopy

Archives of Agronomy and Soil Science ◽

10.1080/03650340.2020.1802013 ◽

2020 ◽

pp. 1-14

Author(s):

Hang Cheng ◽

Jing Wang ◽

Yingkun Du

Keyword(s):

Variable Selection ◽

Total Nitrogen ◽

Nir Spectroscopy ◽

Soil Total Nitrogen ◽

Multivariate Method ◽

Spectral Variable ◽

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Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil Samples by VIS–NIR Spectroscopy

Remote Sensing ◽

10.3390/rs10030479 ◽

2018 ◽

Vol 10 (3) ◽

pp. 479 ◽

Author(s):

Yongsheng Hong ◽

Yiyun Chen ◽

Lei Yu ◽

Yanfang Liu ◽

Yaolin Liu ◽

...

Keyword(s):

Organic Matter ◽

Variable Selection ◽

Fractional Order ◽

Nir Spectroscopy ◽

Soil Samples ◽

Order Derivative ◽

Fractional Order Derivative ◽

Spectral Variable ◽

Homogeneous Soil ◽

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Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy

Biosystems Engineering ◽

10.1016/j.biosystemseng.2016.04.018 ◽

2016 ◽

Vol 152 ◽

pp. 104-116 ◽

Author(s):

Antonios Morellos ◽

Xanthoula-Eirini Pantazi ◽

Dimitrios Moshou ◽

Thomas Alexandridis ◽

Rebecca Whetton ◽

...

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Moisture Content ◽

Total Nitrogen ◽

Nir Spectroscopy ◽

Soil Total Nitrogen

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Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon

Sensors ◽

10.3390/s17102428 ◽

2017 ◽

Vol 17 (10) ◽

pp. 2428 ◽

Author(s):

Said Nawar ◽

Abdul Mouazen

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Total Nitrogen ◽

Random Forests ◽

Nir Spectroscopy ◽

Total Carbon ◽

Soil Total Nitrogen ◽

On Line ◽

Artificial Neural

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Real-Time Analysis of Soil Total Nitrogen and Soil Total Phosphorus with NIR Spectroscopy

Sensor Letters ◽

10.1166/sl.2010.1220 ◽

2010 ◽

Vol 8 (1) ◽

pp. 163-166 ◽

Author(s):

Xiaofei An ◽

Lihua Zheng ◽

Minzan Li

Keyword(s):

Real Time ◽

Total Nitrogen ◽

Total Phosphorus ◽

Nir Spectroscopy ◽

Time Analysis ◽

Soil Total Nitrogen ◽

Real Time Analysis

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Determination of rice root density from Vis–NIR spectroscopy by support vector machine regression and spectral variable selection techniques

CATENA ◽

10.1016/j.catena.2017.05.008 ◽

2017 ◽

Vol 157 ◽

pp. 12-23 ◽

Author(s):

Shengxiang Xu ◽

Yongcun Zhao ◽

Meiyan Wang ◽

Xuezheng Shi

Keyword(s):

Support Vector Machine ◽

Variable Selection ◽

Nir Spectroscopy ◽

Root Density ◽

Rice Root ◽

Support Vector ◽

Support Vector Machine Regression ◽

Spectral Variable

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Variable Selection for Referenceless Multivariate Calibration: A Case Study on Nicotine Determination in Flue-Cured Tobacco Powder by Near-Infrared (NIR) Spectroscopy

Analytical Letters ◽

10.1080/00032719.2021.1974028 ◽

2021 ◽

pp. 1-16

Author(s):

Yiming Bi ◽

Xianwei Hao ◽

Lu Dai ◽

Yuhan Peng ◽

Jinxin Tie ◽

...

Keyword(s):

Variable Selection ◽

Near Infrared ◽

Multivariate Calibration ◽

Nir Spectroscopy ◽

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Rapid and reliable spectral variable selection for statistical calibrations based on PLS-regression vector choices

Fresenius Journal of Analytical Chemistry ◽

10.1007/s002160050542 ◽

1997 ◽

Vol 359 (1) ◽

pp. 93-99 ◽

Author(s):

H. M. Heise ◽

A. Bittner

Keyword(s):

Variable Selection ◽

Pls Regression ◽

Spectral Variable ◽

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Strong Consistency of Variable Selection for Stationary Linear Stochastic Systems

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8866312 ◽

2019 ◽

Author(s):

ZHAO Wenxiao ◽

YIN G. George ◽

BAI Er-Wei

Keyword(s):

Variable Selection ◽

Strong Consistency ◽

Stochastic Systems ◽

Linear Stochastic Systems ◽

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Variable selection for semiparametric random-effects conditional density models with longitudinal data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2018.1554130 ◽

2018 ◽

Vol 49 (4) ◽

pp. 977-996

Author(s):

Xiaohui Yuan ◽

Yue Wang ◽

Tianqing Liu

Keyword(s):

Variable Selection ◽

Longitudinal Data ◽

Random Effects ◽

Conditional Density ◽

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Revealing horizontal and vertical variation of soil organic carbon, soil total nitrogen and C:N ratio in subtropical forests of southeastern China

Journal of Environmental Management ◽

10.1016/j.jenvman.2021.112483 ◽

2021 ◽

Vol 289 ◽

pp. 112483

Author(s):

Jiaqi Dong ◽

Kangning Zhou ◽

Peikun Jiang ◽

Jiasen Wu ◽

Weijun Fu

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Total Nitrogen ◽

C:N Ratio ◽

Vertical Variation ◽

Southeastern China ◽

Subtropical Forests ◽

Soil Total Nitrogen

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