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Journal of Zhejiang University SCIENCE B 2005 Vol.6 No.11 P.1081~1086

10.1631/jzus.2005.B1081


Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques


Author(s):  HE Yong, SONG Hai-yan, PEREIRA Annia Garcí,a, GÓ,MEZ Antihus Herná,ndez

Affiliation(s):  School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China; more

Corresponding email(s):   yhe@zju.edu.cn

Key Words:  NIR spectroscopy, Partial least square, Precision farming, Soil spatial variability, Nitrogen, Organic matter


HE Yong, SONG Hai-yan, PEREIRA Annia García, GÓMEZ Antihus Hernández. Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques[J]. Journal of Zhejiang University Science B, 2005, 6(11): 1081~1086.

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author="HE Yong, SONG Hai-yan, PEREIRA Annia García, GÓMEZ Antihus Hernández",
journal="Journal of Zhejiang University Science B",
volume="6",
number="11",
pages="1081~1086",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.B1081"
}

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%T Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques
%A HE Yong
%A SONG Hai-yan
%A PEREIRA Annia Garcí
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%A GÓ
%A MEZ Antihus Herná
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%J Journal of Zhejiang University SCIENCE B
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%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.B1081

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T1 - Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques
A1 - HE Yong
A1 - SONG Hai-yan
A1 - PEREIRA Annia Garcí
A1 - a
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A1 - MEZ Antihus Herná
A1 - ndez
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SP - 1081
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%@ 1673-1581
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2005.B1081


Abstract: 
Near infrared reflectance (NIR) spectroscopy is as a rapid, convenient and simple nondestructive technique useful for quantifying several soil properties. This method was used to estimate nitrogen (N) and organic matter (OM) content in a soil of Zhejiang Province, Hangzhou County. A total of 125 soil samples were taken from the field. Ninety-five samples spectra were used during the calibration and cross validation stage. Thirty samples spectra were used to predict N and OM concentration. NIR spectra of these samples were correlated using partial least square regression. The regression coefficients between measured and predicted values of N and OM was 0.92 and 0.93, and SEP (standard error of prediction) were 3.28 and 0.06, respectively, which showed that NIR method had potential to accurately predict these constituents in this soil. The results showed that NIR spectroscopy could be a good tool for precision farming application.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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Open peer comments: Debate/Discuss/Question/Opinion

<1>

FELLA@UPEC<filoucha07@hotmail.fr>

2013-03-04 18:07:21

THANK YOU

Sixte Ntamatungiro@University of Arkansas Pine Bluff<ntamatungiros@uapb.edu>

2010-09-26 23:46:14

This is a very good research paper because it does not require the use of hazardeous chemicals.

Please provide your name, email address and a comment





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