| 光谱学与光谱分析 |
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| 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 |
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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.
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Received: 2013-06-29
Accepted: 2013-10-14
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Corresponding Authors:
HE Yong
E-mail: yhe@zju.edu.cn
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[1] Cecillon L, Certini G, Lange H, et al. Organic Geochemistry, 2012, 46: 127.
[2] Shao Y N, He Y. Soil Research, 2011, 49(2): 166.
[3] Boyan Kuang A M M. Soil & Tillage Research, 2013, 128: 125.
[4] TIAN Yong-chao, ZHANG Juan-juan, YAO Xia, et al(田永超，张娟娟，姚 霞, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2012，28(1): 145.
[5] Yang H F, Qian Y R, Yang F, et al. Soil Science, 2012, 177(11): 674.
[6] MA Shi-bang, TANG Xiu-ying, XU Yang, et al(马世榜，汤修映，徐 杨. 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2012，28(18): 268.
[7] LIU Xue-mei, LIU Jian-she(刘雪梅，柳建设). Transactions of the Chinese Society for Agricultural Machinery(农业机械学报), 2013, 44(3): 88.
[8] Vohland M, Emmerling C. European Journal of Soil Science, 2011, 62(4): 598.
[9] Wu D, Shi H, Wang S, et al. Analytica Chimica Acta, 2012, 726(0): 57.
[10] BAO Shi-dan(鲍士旦). Soil Agrochemical Analysis(土壤农化分析). Beijing: China Agriculture Press(北京: 中国农业出版社)，1999. 30.
[11] Mouazen A M, Kuang B, De Baerdemaeker J, et al. Geoderma, 2010, 158(1-2SI): 23. |
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