Real-time Soil Sensing with NIR Spectroscopy

  • Jianying Sun
  • Minzan Li
  • Lihua Zheng
  • Ning Tang
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

The grey-brown alluvial soil is a typical soil in the Northern China. It was selected as research object to reveal feasibility and possibility of real-time analyzing soil parameter with NIR spectroscopic techniques. 150 samples were collected from a winter wheat farm. And then the NIR absorbance spectra were rapidly measured under the original conditions by a Nicolet Antaris FT-NIR analyzer. Three soil parameters, soil moisture, SOM, TN content, were analyzed. For soil moisture content, a linear regression model was available, using 1920 nm of wavelength with correlation coefficient of 0.937, So that the results obtained could be directly used to real time evaluate soil moisture. SOM content and TN content were estimated with a multiple linear regression model, 1870 nm and 1378 nm wavelengths were selected in the SOM estimated model, while 2262 nm and 1888 nm wavelengths were selected in the TN estimated model. The results showed that soil SOM and TN content could be evaluated by using NIR absorbance spectra of soil samples.

Keywords

NIR spectroscopy chemometrics soil moisture soil organic matter soil total nitrogen 

References

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Jianying Sun
    • 1
  • Minzan Li
    • 1
  • Lihua Zheng
    • 1
  • Ning Tang
    • 1
  1. 1.Key Laboratory of Information Agriculture of Jiangsu ProvinceNanjing Agricultural UniversityChina

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