Based on the LS-SVM Modeling Method Determination of Soil Available N and Available K by Using Near-Infrared Spectroscopy
LIU Xue-mei1, 2, LIU Jian-she1*
1. College of Environmental Science and Engineering, Donghua University, Shanghai 201620, China 2. School of Civil Engineering, East China Jiaotong University, Nanchang 330013, China
Abstract：Visible infrared spectroscopy (Vis/SW-NIRS) was investigated in the present study for measurement accuracy of soil properties,namely, available nitrogen(N) and available potassium(K). Three types of pretreatments including standard normal variate (SNV), multiplicative scattering correction (MSC) and Savitzky-Golay smoothing+first derivative were adopted to eliminate the system noises and external disturbances. Then partial least squares (PLS) and least squares-support vector machine (LS-SVM) models analysis were implemented for calibration models. Simultaneously, the performance of least squares-support vector machine (LS-SVM) models was compared with three kinds of inputs, including PCA(PCs), latent variables(LVs), and effective wavelengths (EWs). The results indicated that all LS-SVM models outperformed PLS models. The performance of the model was evaluated by the correlation coefficient (r2) and RMSEP. The optimal EWs-LS-SVM models were achieved, and the correlation coefficient (r2) and RMSEP were 0.82 and 17.2 for N and 0.72 and 15.0 for K, respectively. The results indicated that visible and short wave-near infrared spectroscopy (Vis/SW-NIRS)(325～1 075 nm) combined with LS-SVM could be utilized as a precision method for the determination of soil properties.
Key words：LS-SVM;Vis/SW-NIRS;soil;Available nitrogen(N) and available potassium(K)
刘雪梅1, 2，柳建设1*. 基于LS-SVM建模方法近红外光谱检测土壤速效N和速效K的研究[J]. 光谱学与光谱分析, 2012, 32(11): 3019-3023.
LIU Xue-mei1, 2, LIU Jian-she1*. Based on the LS-SVM Modeling Method Determination of Soil Available N and Available K by Using Near-Infrared Spectroscopy . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(11): 3019-3023.
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