光谱学与光谱分析 |
|
|
|
|
|
Application of Wavelet Packet Analysis in Estimating Soil Parameters Based on NIR Spectra |
ZHENG Li-hua, LI Min-zan*, PAN Luan, SUN Jian-ying, TANG Ning |
Key Laboratory of Ministry of Education on Modern Precision Agriculture System Integration Research, China Agricultural University, Beijing 100083, China |
|
|
Abstract Using the method of wavelet analysis, the NIR spectra of soil samples were decomposed and reconstructed, and higher precision PLS models were established to estimate soil parameter (TN, SOM). One hundred fifty soil samples were collected from a winter wheat field and the NIR spectra of all samples were measured. Firstly, experiment statistic features were analyzed aiming at all soil samples, and the system clustering was carried out for TN and SOM respectively. Then 50 new TN samples and their corresponding spectra, and 50 new SOM samples and their corresponding spectra were obtained. Secondly, the PLS models were established with these new samples based on their corresponding spectra. The models showed a certain amount of accuracy, but it was still not practical. Therefore, wavelet analysis of NIR spectra was tried. The wavelet packet decomposing by eight-level biorthogonal algorithm was carried out, and 256 nodes were gotten. The lowest approximation signal is corresponding to soil moisture and soil texture spectrum trend. The maximal detail signal is corresponding to the high-frequency turbulence caused by the soil particle size, precision of spectrometer, and other uncertainties. After reconstructing these two nodes and then removed from the original spectra, the characteristic spectra corresponding to each soil parameter were acquired. Finally, the PLS models were established for TN and SOM content respectively: for TN content, the calibration coefficient of the PLS model is 0.960, the validation coefficient is 0.920; and for SOM content, the calibration coefficient of the PLS model is 0.922, and the validation coefficient is 0.883. It was showed that the accuracy of each model was highly improved and the models were able to meet the needs of actual production. The research results conclude that wavelet analysis can eliminate or substantially reduce the factors outside the parameters. It can also remove the obstacles in establishing linear models of soil parameters, and it is feasible and potential method for the real-time estimation of soil parameters.
|
Received: 2008-03-02
Accepted: 2008-06-06
|
|
Corresponding Authors:
LI Min-zan
E-mail: limz@cau.edu.cn
|
|
[1] WANG Mao-hua(汪懋华). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 1999, 15(1): 1. [2] Al-Abbas A H, Swain P H, Baumgardner M F. Soil Science, 1972, 114: 477. [3] Morra M J, Hall M H, Freeborn L L. Soil Science Society of Am. Journal, 1991, 55: 288. [4] Dalal R C, Henry R J. Soil Sci. Soc. Am. J, 1986, 50: 120. [5] XU Yong-ming, LIN Qi-zhong, WANG Lu, et al(徐永明, 蔺启忠, 王 璐, 等). Acta Pedologica Sinica(土壤学报), 2006, 43(5): 709. [6] HE Xu-sheng(何绪生). Review of China Agricultural Science and Technology(中国农业科技导报), 2004, 6(4): 71. [7] Chang Chengwen, Laird David A. Soil Science, 2002, 167: 110. [8] Malley D F, Yesmin L, Wray D, et al. Communications in Soil Science and Plant Analysis, 1999, 30(7/8): 999. [9] XIE Bo-cheng, XUE Xu-zhang, WANG Ji-hua, et al(谢伯承, 薛绪掌, 王纪华, 等). Agricultural Research in the Arid Areas(干旱地区农业研究), 2005, 23(3): 54. [10] Zheng Lihua, Li Minzan, Sun Jianying, et al. Infrared and Photoelectronic Imagers and Detector Devices, 2005, Proceedings of SPIE, 2005, 5881: 138. [11] SUN Jian-ying, LI Min-zan, TANG Ning, et al(孙建英, 李民赞, 唐 宁, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(8): 1502. [12] SUN Jian-ying, LI Min-zan, ZHENG Li-hua, et al(孙建英, 李民赞, 郑立华, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(3): 426. [13] LI Hua-bei, CHEN Bin, ZHAO Jie-wen, et al(李华北, 陈 斌, 赵杰文, 等). Transaction of the Chinese Society of Agricultural Engineering(农业工程学报), 2000, 16(6): 114. [14] Lü Jin, LIN Min, ZHUANG Song-lin(吕 进,林 敏,庄松林). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(11): 1790. [15] TIAN Gao-you, YUAN Hong-fu, LIU Hui-ying, et al(田高友, 袁洪福, 刘慧颖, 等). Journal of Instrumental Analysis(分析测试学报), 2005, 24(1): 17. [16] BI Wei-hong, CHEN Jun-gang, LI Lin(毕卫红, 陈俊刚, 李 林). Infrared(红外), 2006, 27(8):16. [17] ZHANG Pei-yao, MA Xiao-jiang, WANG Ji-jun, et al(张佩瑶, 马孝江, 王吉军, 等). Journal of Dalian University of Technology(大连理工大学学报), 1997, 37(01): 69. [18] TAO Li-min, XU Chang-ru(陶立敏, 许昌如). Journal of Wuhan University of Technology(Traffic Science and Engineering Edition)(武汉理工大学学报·交通科学与工程版), 2005, 29(2): 277. [19] FEISI Technology Products Research & Development Center(飞思科技产品研发中心). Wavelet Analysis Theory and Achieve with MATLAB7(小波分析理论与MATLAB7实现). Beijing: Publishing House of Electronics Industry(北京: 电子工业出版社), 2005. [20] McNulty Christopher S, Msuze Ganapati. Proc. SPIE-Int. Soc. Opt. Eng., 1998. 167. [21] TIAN Gao-you, YUAN Hong-fu, LIU Hui-ying(田高友,袁洪福,刘慧颖). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(8): 1441.
|
[1] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[2] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[3] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[4] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[5] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
[6] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[7] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
[8] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
[9] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
[10] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
[11] |
CAI Hai-hui1, ZHOU Ling2, SHI Zhou3, JI Wen-jun4, LUO De-fang1, PENG Jie1, FENG Chun-hui5*. Hyperspectral Inversion of Soil Organic Matter in Jujube Orchard
in Southern Xinjiang Using CARS-BPNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2568-2573. |
[12] |
XIA Chen-zhen1, 2, 3, JIANG Yan-yan4, ZHANG Xing-yu1, 2, 3, SHA Ye5, CUI Shuai1, 2, 3, MI Guo-hua5, GAO Qiang1, 2, 3, ZHANG Yue1, 2, 3*. Estimation of Soil Organic Matter in Maize Field of Black Soil Area Based on UAV Hyperspectral Image[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2617-2626. |
[13] |
ZHANG Hai-liang1, XIE Chao-yong1, TIAN Peng1, ZHAN Bai-shao1, CHEN Zai-liang1, LUO Wei1*, LIU Xue-mei2*. Measurement of Soil Organic Matter and Total Nitrogen Based on Visible/Near Infrared Spectroscopy and Data-Driven Machine Learning Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2226-2231. |
[14] |
WANG Yu-qi, LI Bin, ZHU Ming-wang, LIU Yan-de*. Optimizations of Sample and Wavelength for Apple Brix Prediction Model Based on LASSOLars Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1419-1425. |
[15] |
LI Shuai-wei1, WEI Qi1, QIU Xuan-bing1*, LI Chuan-liang1, LI Jie2, CHEN Ting-ting2. Research on Low-Cost Multi-Spectral Quantum Dots SARS-Cov-2 IgM and IgG Antibody Quantitative Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1012-1016. |
|
|
|
|