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Predicting Organic Matter Content, Total Nitrogen and pH Value of Lime Concretion Black Soil Based on Visible and Near Infrared Spectroscopy


Lime concretion black soil is a kind of ancient cultivated soil and exhibits highly-localized distributions in China’s important commodity grain base and fruit/vegetable production base. However, lime concretion black soil is currently poor in fertility and crop output. Visible and near-infrared (VIS/NIR) diffuse reflectance spectroscopy appears as an effective tool of gaining in-depth knowledge of soil properties. This study focused on lime concretion black soil samples, collected their VIR/NIR spectra and correlated the spectral characteristics with the measured organic matter content (OMC), total nitrogen (N) and pH value using chemical methods for establishing the prediction models of soil properties. Different spectral pretreatment, sample selection and wavelength optimization methods were applied for improving the accuracy and robustness of the prediction models. Results show that, after appropriate spectral processing and selection of representative samples, the established principal component regression genetic algorithm (PCR-GA) models can accurately predict the contents of OMC and N as well as pH values of lime concrete black soil samples, with the correlation coefficients of 0.91, 0.97 and 0.92, respectively. The present study proved great potential of VIS/NIRS in real-time detection of lime concretion black soil properties.

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This research was funded by National Key Research and Development Program of China, grant number no. 2017YFD0700501, Key Technologies Research and Development Program of Anhui Province, China, grant number nos. 201904b11020012, 18030701201, the Youth Foundation of Natural Science Foundation of Anhui Province, grant number no. 1908085QE202, and the Dean Foundation of Hefei Institutes of Physical Science, Chinese Academy of Sciences, grant number no. YZJJ2019QN14.

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Correspondence to He Huang or Xiangyu Chen.

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Yubing Wang, Huang, H. & Chen, X. Predicting Organic Matter Content, Total Nitrogen and pH Value of Lime Concretion Black Soil Based on Visible and Near Infrared Spectroscopy. Eurasian Soil Sc. (2021).

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  • visible and near infrared spectroscopy
  • principal component analysis (PCA)
  • genetic algorithm (GA)
  • variable-rate fertilization
  • soil nutrients prediction