Measurement of Soil Organic Matter and Available K Based on SPA-LS-SVM
ZHANG Hai-liang1, 2, LIU Xue-mei2, HE Yong1*
1. College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China 2. School of Mechanical Engineering, East China Jiaotong University, Nanchang 330013, China
Abstract：Visible and short wave infrared spectroscopy (Vis/SW-NIRS) was investigated in the present study for measurement of soil organic matter (OM) and available potassium (K). Four types of pretreatments including smoothing, SNV, MSC and SG smoothing+first derivative were adopted to eliminate the system noises and external disturbances. Then partial least squares regression (PLSR) and least squares-support vector machine (LS-SVM) models were implemented for calibration models. The LS-SVM model was built by using characteristic wavelength based on successive projections algorithm (SPA). Simultaneously, the performance of LS-SVM models was compared with PLSR models. The results indicated that LS-SVM models using characteristic wavelength as inputs based on SPA outperformed PLSR models. The optimal SPA-LS-SVM models were achieved, and the correlation coefficient (r), and RMSEP were 0.860 2 and 2.98 for OM and 0.730 5 and 15.78 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 based on SPA could be utilized as a precision method for the determination of soil properties.
章海亮1, 2，刘雪梅2，何 勇1* . SPA-LS-SVM检测土壤有机质和速效钾研究 [J]. 光谱学与光谱分析, 2014, 34(05): 1348-1351.
ZHANG Hai-liang1, 2, LIU Xue-mei2, HE Yong1*. Measurement of Soil Organic Matter and Available K Based on SPA-LS-SVM. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(05): 1348-1351.
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