|
|
|
|
|
|
| Application of Slope/Bias and Direct Standardization Algorithms to Correct the Effect of Soil Moisture for the Prediction of Soil Organic Matter Content Based on the Near Infrared Spectroscopy |
| WANG Shi-fang1,2,3, HAN Ping1,3*, SONG Hai-yan2*, LIANG Gang1,3, CHENG Xu2 |
1. Beijing Research Center for Agriculture Standards and Testing, Beijing 100097, China
2. College of Engineering, Shanxi Agricultural University, Taigu 030801, China
3. Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China |
|
|
|
|
Abstract Soil moisture has strong absorption in near infrared spectroscopy (NIRS) and causes interference in the prediction of the soil organic matter (SOM) content. In this paper, 41 dry soil samples were used to establish the SOM calibration model by PLSR, and 9 samples were used as the prediction set. All soil samples were rewetted to four different moisture contents (5%, 10%, 15% and 17%). The slope/bias (S/B) and direct standardization (DS) algorithms were used to correct SOM prediction results and whole-spectra obtained by different moisture content, eliminating the differences caused by soil moisture. The results showed that the bias reduced and prediction performances of the model were improved, with Rp higher than 0.89 and RMSEP lower than 0.885%. The study indicated that S/B and DS algorithm corrections could effectively remove the influence of soil moisture in NIRS and improve the accuracy of SOM predictions.
|
|
Received: 2018-05-02
Accepted: 2018-10-29
|
|
|
|
Corresponding Authors:
HAN Ping, SONG Hai-yan
E-mail: yybbao@163.com; hanping1016@163.com
|
|
[1] Lobell D B, Asner G P. Soil Science Society of America Journal, 2002, 66(3): 722.
[2] Ji W, Viscarra Rossel R A, Shi Z. European Journal of Soil Science, 2015, 66(3): 555.
[3] Song Haiyan, Cheng Xu. Spectroscopy and Spectral Analysis, 2014, 34(5): 1240.
[4] Wang Shifang, Cheng Xu, Song Haiyan. Spectroscopy and Spectral Analysis, 2016, 36(10): 3249.
[5] Minasny B, Mcbratney A B, Bellon-Maurel V, et al. Geoderma, 2011, 167(167): 118.
[6] Ji W, Li S, Chen S, et al. Soil & Tillage Research, 2016, 155: 492.
[7] Milanez K D T M, Silva A C, Paz J E M, et al. Microchemical Journal, 2016, 124(7): 121.
[8] Ji W, Viscarra Rossel R A, Shi Z. European Journal of Soil Science, 2015, 66(4): 670.
[9] Wang J X, Xing Z N, Qu J. Spectroscopy-Springfield then Eugene then Duluth, 2013, 28(6): 36.
[10] Alves J C, Poppi R J. Spectrochimica Acta. Part A: Molecular and Biomolecular Spectroscopy, 2013, 103(4): 311.
[11] Griffiths M L, Svozil D, Worsfold P, et al. Journal of Analytical Atomic Spectrometry, 2006, 21(10): 1045.
[12] Huang Chengwei, Dai Liankui, Dong Xuefeng. Spectroscopy and Spectral Analysis, 2011, 31(5): 1279.
[13] Tian G Y, Chu X L, Yuan H F, et al. Chinese Journal of Analytical Chemistry, 2006, 34(07): 927.
[14] Xi C C, Feng Y C, Hu C Q. Chinese Journal of Analytical Chemistry, 2014, 42(9): 1307.
[15] Liu X, Han L J, Yang Z L. Journal of Dairy Science, 2011, 94(11): 5599.
[16] Ji Nayu, Li Ming, Lü Wenbo, et al. Spectroscopy and Spectral Analysis, 2017, 37(1): 227.
[17] Wijewardane N K, Ge Y, Morgan C L S. European Journal of Soil Science, 2016, 67(5): 605.
[18] Liang C, Yuan H F, Zhao Z, et al. Chemometrics & Intelligent Laboratory Systems, 2016, 153: 51.
[19] Wang J X, Qu J, Li H, et al. Liquid Fuels Technology, 2012, 30(19): 1975.
[20] Song H Y, Qin G. Spectroscopy and Spectral Analysis, 2015, 35(12): 3360.
[21] Wang Y, Veltkamp D J, Kowalski B R. Analytical Chemistry, 2002, 63(23): 530. |
| [1] |
SHI Wen-qiang1, XU Xiu-ying1*, ZHANG Wei1, ZHANG Ping2, SUN Hai-tian1, 3, HU Jun1. Prediction Model of Soil Moisture Content in Northern Cold Region Based on Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1704-1710. |
| [2] |
WANG Xue-pei1, 2, ZHANG Lu-wei1, 2, BAI Xue-bing3, MO Xian-bin1, ZHANG Xiao-shuan1, 2*. Infrared Spectral Characterization of Ultraviolet Ozone Treatment on Substrate Surface for Flexible Electronics[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1867-1873. |
| [3] |
WANG Yue1, 3, 4, CHEN Nan1, 2, 3, 4, WANG Bo-yu1, 5, LIU Tao1, 3, 4*, XIA Yang1, 2, 3, 4*. Fourier Transform Near-Infrared Spectral System Based on Laser-Driven Plasma Light Source[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1666-1673. |
| [4] |
FENG Rui-jie1, CHEN Zheng-guang1, 2*, YI Shu-juan3. Identification of Corn Varieties Based on Bayesian Optimization SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1698-1703. |
| [5] |
YU Zhi-rong, HONG Ming-jian*. Near-Infrared Spectral Quantitative Analysis Network Based on Grouped Fully Connection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1735-1740. |
| [6] |
MENG Fan-jia1, LUO Shi1, WU Yue-feng1, SUN Hong1, LIU Fei2, LI Min-zan1*, HUANG Wei3, LI Mu3. Characteristic Extraction Method and Discriminant Model of Ear Rot of Maize Seed Base on NIR Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1716-1720. |
| [7] |
PENG Yan-fang1, WANG Jun1, WU Zhi-sheng2*, LIU Xiao-na3, QIAO Yan-jiang2*. NIR Band Assignment of Tanshinone ⅡA and Cryptotanshinone by
2D-COS Technology and Model Application Tanshinone Extract[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1781-1785. |
| [8] |
WANG Li-qi1, YAO Jing1, WANG Rui-ying1, CHEN Ying-shu1, LUO Shu-nian2, WANG Wei-ning2, ZHANG Yan-rong1*. Research on Detection of Soybean Meal Quality by NIR Based on
PLS-GRNN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1433-1438. |
| [9] |
FU Yan-hua1, LIU Jing2*, MAO Ya-chun2, CAO Wang2, HUANG Jia-qi2, ZHAO Zhan-guo3. Experimental Study on Quantitative Inversion Model of Heavy Metals in Soda Saline-Alkali Soil Based on RBF Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1595-1600. |
| [10] |
LI Jia-yi1, YU Mei1, LI Mai-quan1, ZHENG Yu2*, LI Pao1, 3*. Nondestructive Identification of Different Chrysanthemum Varieties Based on Near-Infrared Spectroscopy and Pattern Recognition Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1129-1133. |
| [11] |
CHEN Chu-han1, ZHONG Yang-sheng2, WANG Xian-yan3, ZHAO Yi-kun1, DAI Fen1*. Feature Selection Algorithm for Identification of Male and Female
Cocoons Based on SVM Bootstrapping Re-Weighted Sampling[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1173-1178. |
| [12] |
LI Xue-ying1, 2, LI Zong-min3*, CHEN Guang-yuan4, QIU Hui-min2, HOU Guang-li2, FAN Ping-ping2*. Prediction of Tidal Flat Sediment Moisture Content Based on Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1156-1161. |
| [13] |
ZHANG Xiao-hong1, JIANG Xue-song1*, SHEN Fei2*, JIANG Hong-zhe1, ZHOU Hong-ping1, HE Xue-ming2, JIANG Dian-cheng1, ZHANG Yi3. Design of Portable Flour Quality Safety Detector Based on Diffuse
Transmission Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1235-1242. |
| [14] |
Yumiti Maiming1, WANG Xue-mei1, 2*. Hyperspectral Estimation of Soil Organic Matter Content Based on Continuous Wavelet Transformation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1278-1284. |
| [15] |
ZHENG Kai-yi1, ZHANG Wen1, DING Fu-yuan1, ZHOU Chen-guang1, SHI Ji-yong1, Yoshinori Marunaka2, ZOU Xiao-bo1*. Using Ensemble Refinement (ER) Method to OptimizeTransfer Set of Near-Infrared Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1323-1328. |
|
|
|
|
