Nitrogen, phosphorus, and potassium prediction in soils, using infrared spectroscopy
Citations Over TimeTop 11% of 2011 papers
Abstract
The aim of this study was to investigate the potential of the infrared spectroscopy technique for non-destructive measurement of soil properties. For the study, 280 soil samples were collected from several regions in Zhejiang, China. Data from near infrared (NIR, 800–2500 nm), mid infrared (MIR, 4000–400 cm–1), and the combined NIR–MIR regions were compared to determine which produced the best prediction of soil properties. Least-squares support vector machines (LS-SVM) were applied to construct calibration models for soil properties such as available nitrogen (N), phosphorus (P), and potassium (K). The results showed that both spectral regions contained substantial information on N, P, and K in the soils studied, and the combined NIR–MIR region did a little worse than either the NIR or MIR region. Optimal results were obtained through LS-SVM compared with the standard partial least-squares regression method, and the correlation coefficient of prediction (rp), root mean square error for prediction, and bias were, respectively, 0.90, 16.28 mg/kg, and 0.96 mg/kg for the prediction results of N in the NIR region; and 0.88, 41.62 mg/kg, and –2.28 mg/kg for the prediction results of P, and 0.89, 33.47 mg/kg, and 2.96 mg/kg for the prediction results of K, both in the MIR region. This work demonstrated the potential of LS-SVM coupled to infrared reflectance spectroscopy for more efficient soil analysis and the acquisition of soil information.
Related Papers
- → Non-Destructive Quality Evaluation of Tropical Fruit (Mango and Mangosteen) Purée Using Near-Infrared Spectroscopy Combined with Partial Least Squares Regression(2022)22 cited
- → A brief note on application of domain-invariant PLS for adapting near-infrared spectroscopy calibrations between different physical forms of samples(2021)27 cited
- → A Wavelength Selection Model Based on Successive Projections Algorithm for pH Detection of Water by VIS-NIR Spectroscopy(2021)5 cited
- → Determination of Ethenzamide and Acetoaminophen in Quaternary Powdered Samples by near Infrared Spectroscopy and Searching Combination Moving Window Partial Least Squares Algorithm: Effects of Spectral Resolution and Signal-to-Noise Ratio(2006)3 cited
- Determination of foliar nitrogen in oil palm with spectroscopy in the middle infrared (MIR) and near infrared (NIR) by the method of regression of partial least squares of principal components (pls).(2020)