| 光谱学与光谱分析 |
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| Research on the Method for Rapid Detection of Soil Moisture Content Using Spectral Data |
| SONG Tao,BAO Yi-dan*,HE Yong |
| College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China |
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Abstract Spectroscopy technique is one of the qualitative and quantitative analytical techniques developed quickly in recent years. The spectral analysis is a fast and non-destructive method and has been used in many fields such as oil industry, food industry and so on. In the present paper, the spectral band sensitive to soil moisture content was found from the visible/near infrared spectra and a monadic linear regression model based on the data of sensitive spectral band was applied to develop a method for rapid detection of soil moisture content. The spectral data of 52 soil samples were collected by using FieldSpec HandHeld spectroradiometer made by ASD (Analytical Spectral Device) company in the US, and the data of soil moisture content were obtained by experiment. The spectral band sensitive to soil moisture content was achieved by correlation coefficient method. Then, the data of sensitive spectral band were used to build monadic linear regression model of soil moisture content. Finally, the model was employed for the prediction of soil moisture content. Correlation coefficient (r) of prediction and root mean square error of prediction (RMSEP) were used as the evaluation standards. The results indicated that the r and RMSEP for the prediction of soil moisture content were 0.966 5 and 0.012 1 respectively. Thus, it is concluded that the method used in this paper is an available method for the rapid detection of soil moisture content based on the visible/near-infrared spectra.
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Received: 2007-11-22
Accepted: 2008-03-02
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Corresponding Authors:
BAO Yi-dan
E-mail: ydbao@zju.edu.cn
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[1] BAO Shi-dan(鲍士旦). Soil and Agricultural Chemistry Analysis(Third Edition)(土壤农化分析, 第3版). Beijing: China Agriculture Press(北京：中国农业出版社), 2000. 3.
[2] ZHAO Chen, QU Hai-bin, CHENG Yi-yu(赵 琛，瞿海斌，程翼宇). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2004, 24(1): 50.
[3] LIU Shu-hua, ZHANG Xue-gong, ZHOU Qun, et al(刘沭华，张学工，周 群，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(4): 629.
[4] LU Yong-jun, QU Yan-ling, FENG Zhi-qing, et al(芦永军，曲艳玲，冯志庆，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(3): 490.
[5] Shao Yongni, He Yong, Hu Xingyu. Applied Optics, 2007, 46(34): 8379.
[6] JIANG Ze-hui, HUANG An-min, FEI Ben-hua, et al(江泽慧，黄安民，费本华，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(7): 1230.
[7] JIANG Ze-hui, HUANG An-min(江泽慧，黄安民). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(8): 1464.
[8] HUANG An-min, JIANG Ze-hui, LI Gai-yun(黄安民，江泽慧，李改云). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(7): 1328.
[9] JIANG Ze-hui, FEI Ben-hua, YANG Zhong(江泽慧，费本华，杨 忠). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(3): 435.
[10] BAO Feng-wei, LIU Jing-yan(鲍峰伟，刘景艳). Guizhou Chemical Industry(贵州化工), 2006, 31(6): 34.
[11] HE Yong, LI Xiao-li(何 勇，李晓丽). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(3): 192.
[12] Wu Di, He Yong, Feng Shuijuan, et al. Journal of Food Engineering, 2008, 84(1): 124.
[13] SHAO Yong-ni, HE Yong(邵咏妮，何 勇). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2006, 25(6): 478.
[14] QIU Zheng-jun, LU Jiang-feng, MAO Jing-yuan, et al(裘正军，陆江锋，毛静渊，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(8): 1543.
[15] He Yong, Li Xiaoli, Deng Xunfei. Journal of Food Engineering, 2007, 79(4): 1238. |
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