Near-Infrared-Spectroscopy for Determination of Carbon and Nitrogen in Indian Soils

J. Dinakaran; Ankita Bidalia; Amit Kumar; Mohammad Hanief; Archana Meena; K. S. Rao

doi:10.1080/00103624.2016.1194990

Near-Infrared-Spectroscopy for Determination of Carbon and Nitrogen in Indian Soils

J. Dinakaran, Ankita Bidalia, Amit Kumar, Mohammad Hanief, Archana Meena, K. S. Rao

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

The present study aims to evaluate the potential of near-infrared reflectance (NIR) spectroscopy to determine the carbon and nitrogen content in soils and also to assess the effectiveness of NIR spectroscopy to predict carbon and nitrogen content in freshly collected soil samples. Soil samples (n = 179) were collected from different locations in India. Soil carbon and nitrogen contents were successfully predicted (R² = 0.90 for carbon and R² = 0.85 for nitrogen) by NIR spectroscopy. The root mean square error (RMSE) and ratio performance deviation (RPD) for the validation of predicted equations for carbon and nitrogen were 0.83 and 2.83 and 0.01 and 6.98, respectively. The efficacy of NIR spectroscopy on the prediction of carbon and nitrogen content in Indian soils is highly reliable. Water content in soil samples could affect the NIR absorbance spectra and in turn affect the quantification of carbon and nitrogen.

Original language	English
Pages (from-to)	1503-1516
Number of pages	14
Journal	Communications in Soil Science and Plant Analysis
Volume	47
Issue number	12
DOIs	https://doi.org/10.1080/00103624.2016.1194990
Publication status	Published - Jul 3 2016
Externally published	Yes

Keywords

Chemometric analysis
India
NIR spectroscopy
soil carbon
soil nitrogen

ASJC Scopus subject areas

Agronomy and Crop Science
Soil Science

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10.1080/00103624.2016.1194990

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title = "Near-Infrared-Spectroscopy for Determination of Carbon and Nitrogen in Indian Soils",

abstract = "The present study aims to evaluate the potential of near-infrared reflectance (NIR) spectroscopy to determine the carbon and nitrogen content in soils and also to assess the effectiveness of NIR spectroscopy to predict carbon and nitrogen content in freshly collected soil samples. Soil samples (n = 179) were collected from different locations in India. Soil carbon and nitrogen contents were successfully predicted (R2 = 0.90 for carbon and R2 = 0.85 for nitrogen) by NIR spectroscopy. The root mean square error (RMSE) and ratio performance deviation (RPD) for the validation of predicted equations for carbon and nitrogen were 0.83 and 2.83 and 0.01 and 6.98, respectively. The efficacy of NIR spectroscopy on the prediction of carbon and nitrogen content in Indian soils is highly reliable. Water content in soil samples could affect the NIR absorbance spectra and in turn affect the quantification of carbon and nitrogen.",

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T1 - Near-Infrared-Spectroscopy for Determination of Carbon and Nitrogen in Indian Soils

AU - Dinakaran, J.

AU - Bidalia, Ankita

AU - Kumar, Amit

AU - Hanief, Mohammad

AU - Meena, Archana

AU - Rao, K. S.

PY - 2016/7/3

Y1 - 2016/7/3

N2 - The present study aims to evaluate the potential of near-infrared reflectance (NIR) spectroscopy to determine the carbon and nitrogen content in soils and also to assess the effectiveness of NIR spectroscopy to predict carbon and nitrogen content in freshly collected soil samples. Soil samples (n = 179) were collected from different locations in India. Soil carbon and nitrogen contents were successfully predicted (R2 = 0.90 for carbon and R2 = 0.85 for nitrogen) by NIR spectroscopy. The root mean square error (RMSE) and ratio performance deviation (RPD) for the validation of predicted equations for carbon and nitrogen were 0.83 and 2.83 and 0.01 and 6.98, respectively. The efficacy of NIR spectroscopy on the prediction of carbon and nitrogen content in Indian soils is highly reliable. Water content in soil samples could affect the NIR absorbance spectra and in turn affect the quantification of carbon and nitrogen.

AB - The present study aims to evaluate the potential of near-infrared reflectance (NIR) spectroscopy to determine the carbon and nitrogen content in soils and also to assess the effectiveness of NIR spectroscopy to predict carbon and nitrogen content in freshly collected soil samples. Soil samples (n = 179) were collected from different locations in India. Soil carbon and nitrogen contents were successfully predicted (R2 = 0.90 for carbon and R2 = 0.85 for nitrogen) by NIR spectroscopy. The root mean square error (RMSE) and ratio performance deviation (RPD) for the validation of predicted equations for carbon and nitrogen were 0.83 and 2.83 and 0.01 and 6.98, respectively. The efficacy of NIR spectroscopy on the prediction of carbon and nitrogen content in Indian soils is highly reliable. Water content in soil samples could affect the NIR absorbance spectra and in turn affect the quantification of carbon and nitrogen.

KW - Chemometric analysis

KW - India

KW - NIR spectroscopy

KW - soil carbon

KW - soil nitrogen

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Near-Infrared-Spectroscopy for Determination of Carbon and Nitrogen in Indian Soils

Abstract

Keywords

ASJC Scopus subject areas

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