Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods
Savitzky–Golay (SG) smoothing and moving window partial least square (MWPLS) methods were applied to the model optimization and the waveband selection for near-infrared (NIR) spectroscopy analysis of soil organic matter. The optimal single wavelength prediction bias (OSWPB) was used to evaluate the...
Saved in:
Published in | Chemometrics and intelligent laboratory systems Vol. 107; no. 1; pp. 139 - 146 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.05.2011
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Savitzky–Golay (SG) smoothing and moving window partial least square (MWPLS) methods were applied to the model optimization and the waveband selection for near-infrared (NIR) spectroscopy analysis of soil organic matter. The optimal single wavelength prediction bias (OSWPB) was used to evaluate the similarity of calibration set and prediction set, and a new division method for calibration set and prediction set was proposed. SG smoothing modes were expanded to 540 kinds. The specific computer algorithm platforms for optimization of SG smoothing mode combined with PLS factor and for MWPLS method with changeable parameters were built up. The optimal waveband for soil organic matter was 1926–2032
nm, the optimal smoothing mode was the 2nd order derivative, 6th degree polynomial, 45 smoothing points, the PLS factor, RMSEP and R
P were 8, 0.260 (%) and 0.877 respectively. The prediction effect was obviously better than that in the whole spectral collecting region. To get stable results, all the optimization processes were based on the average prediction effect on 50 different divisions of calibration set and prediction set. |
---|---|
AbstractList | Savitzky–Golay (SG) smoothing and moving window partial least square (MWPLS) methods were applied to the model optimization and the waveband selection for near-infrared (NIR) spectroscopy analysis of soil organic matter. The optimal single wavelength prediction bias (OSWPB) was used to evaluate the similarity of calibration set and prediction set, and a new division method for calibration set and prediction set was proposed. SG smoothing modes were expanded to 540 kinds. The specific computer algorithm platforms for optimization of SG smoothing mode combined with PLS factor and for MWPLS method with changeable parameters were built up. The optimal waveband for soil organic matter was 1926–2032
nm, the optimal smoothing mode was the 2nd order derivative, 6th degree polynomial, 45 smoothing points, the PLS factor, RMSEP and R
P were 8, 0.260 (%) and 0.877 respectively. The prediction effect was obviously better than that in the whole spectral collecting region. To get stable results, all the optimization processes were based on the average prediction effect on 50 different divisions of calibration set and prediction set. |
Author | Chen, Huazhou Pan, Tao Chen, Jiemei Lu, Qipeng |
Author_xml | – sequence: 1 givenname: Huazhou surname: Chen fullname: Chen, Huazhou organization: Department of Mathematics, Shanghai University, Shanghai 200444, PR China – sequence: 2 givenname: Tao surname: Pan fullname: Pan, Tao email: tpan@jnu.edu.cn organization: Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Educational Institutes, Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, PR China – sequence: 3 givenname: Jiemei surname: Chen fullname: Chen, Jiemei organization: Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Educational Institutes, Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, PR China – sequence: 4 givenname: Qipeng surname: Lu fullname: Lu, Qipeng organization: Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Educational Institutes, Department of Optoelectronic Engineering, Jinan University, Guangzhou 510632, PR China |
BookMark | eNqFkNtKAzEQhoMo2FZfQfICu-aw3ezeKUVroR6wSi9DDrNtym5SkqXQt3dL9dqrYYb5fma-Mbr0wQNCd5TklNDyfpebLXShVTpnhNKcsJyQ6gKNaCV4xhmvL9FoWKwzUfD6Go1T2pFTX9ARCmt1AK28xQlaML0LHjch4rfFJ077YRBDMmF_xMqr9phcwqHBKbgWh7hR3hncqb6HiLVKYPFAr-Y4dSH0W-c3-BT8uv5YrnAH_TbYdIOuGtUmuP2tE_T9_PQ1e8mW7_PF7HGZGS6qPtOWAak1JZUpLZly0JqzhkHBTcFEqZgQhea8sE1Jp9xYIcpGlWVVcUpqUVM-QeU51wwPpAiN3EfXqXiUlMiTNrmTf9rkSZskTA7aBvDhDMJw3cFBlMk48Aasi4MOaYP7L-IHNzB8BQ |
CitedBy_id | crossref_primary_10_1016_j_infrared_2017_09_004 crossref_primary_10_1016_j_catena_2024_108180 crossref_primary_10_1016_j_saa_2013_09_065 crossref_primary_10_1366_13_07088 crossref_primary_10_1016_j_chemolab_2012_01_002 crossref_primary_10_1007_s12161_022_02275_6 crossref_primary_10_1016_j_chemolab_2016_05_022 crossref_primary_10_4236_ajac_2018_912045 crossref_primary_10_4304_jcp_9_1_228_234 crossref_primary_10_1016_j_trac_2020_116166 crossref_primary_10_1016_j_saa_2016_01_022 crossref_primary_10_1155_2018_5237308 crossref_primary_10_1007_s10812_019_00874_6 crossref_primary_10_3390_molecules27144485 crossref_primary_10_3390_rs9060632 crossref_primary_10_3390_rs12060928 crossref_primary_10_1177_00037028231160197 crossref_primary_10_1109_TGRS_2023_3312945 crossref_primary_10_3390_plants13081163 crossref_primary_10_1016_j_geoderma_2018_04_019 crossref_primary_10_4236_ajac_2016_75043 crossref_primary_10_1016_j_saa_2023_122975 crossref_primary_10_1039_C5AY00441A crossref_primary_10_1016_j_saa_2012_10_006 crossref_primary_10_4236_ajac_2020_112008 crossref_primary_10_4236_ajac_2016_73025 crossref_primary_10_3390_app131810420 crossref_primary_10_3390_s16060827 crossref_primary_10_1016_j_saa_2017_12_068 crossref_primary_10_1080_00032719_2013_784912 crossref_primary_10_1007_s11694_023_02090_5 crossref_primary_10_2477_jccj_2012_0007 crossref_primary_10_1016_j_jhazmat_2013_11_059 crossref_primary_10_3389_fnut_2022_796463 crossref_primary_10_4028_www_scientific_net_AMR_468_471_1663 crossref_primary_10_3389_fphy_2021_663573 crossref_primary_10_3390_rs15123191 crossref_primary_10_1038_s41598_022_15719_0 crossref_primary_10_1016_j_chemolab_2016_09_008 crossref_primary_10_4236_ajac_2022_132005 crossref_primary_10_1016_j_geoderma_2015_12_031 crossref_primary_10_1080_15320383_2023_2185452 crossref_primary_10_1016_j_saa_2022_121291 crossref_primary_10_3390_s21134257 crossref_primary_10_1016_j_iswcr_2020_04_005 crossref_primary_10_1016_j_infrared_2016_01_022 crossref_primary_10_1039_C4AY01833H crossref_primary_10_4236_ajac_2017_82013 crossref_primary_10_1111_jfpe_12647 crossref_primary_10_1016_j_jfca_2020_103509 crossref_primary_10_1142_S1793545816500292 crossref_primary_10_4236_ajac_2018_93011 crossref_primary_10_1117_1_JBO_19_8_087004 crossref_primary_10_1016_j_scitotenv_2022_156129 crossref_primary_10_1039_C5RA12468A crossref_primary_10_1016_j_chemolab_2013_04_017 crossref_primary_10_1016_j_chemolab_2015_04_015 crossref_primary_10_4236_eng_2017_92009 crossref_primary_10_4028_www_scientific_net_AMM_365_366_737 crossref_primary_10_1016_j_geoderma_2017_10_043 crossref_primary_10_1016_j_saa_2022_121733 crossref_primary_10_4236_gep_2021_93006 crossref_primary_10_1016_j_saa_2020_118215 crossref_primary_10_1016_j_compag_2024_108760 crossref_primary_10_3390_bios11120492 crossref_primary_10_1080_10408347_2024_2351820 crossref_primary_10_1007_s12161_015_0188_5 crossref_primary_10_3390_agriculture12030402 crossref_primary_10_1039_c3ay40732b crossref_primary_10_4028_www_scientific_net_AMM_365_366_733 crossref_primary_10_1016_j_molstruc_2019_126942 crossref_primary_10_1016_j_infrared_2023_104595 crossref_primary_10_1016_j_chemolab_2018_09_009 crossref_primary_10_1039_C5AY00145E crossref_primary_10_3389_fpls_2024_1413215 crossref_primary_10_1038_srep17210 crossref_primary_10_1039_C8AY00862K crossref_primary_10_1016_j_saa_2018_05_005 crossref_primary_10_1017_wsc_2023_36 crossref_primary_10_4028_www_scientific_net_AMR_566_660 crossref_primary_10_1016_j_chemolab_2019_07_005 crossref_primary_10_3390_agriengineering6010004 crossref_primary_10_1007_s12200_020_1005_3 crossref_primary_10_1002_ps_5295 crossref_primary_10_1590_fst_25718 crossref_primary_10_1016_j_foodchem_2017_09_058 crossref_primary_10_1080_00032719_2014_900776 crossref_primary_10_1142_S1793545819500184 crossref_primary_10_3390_bios13020203 crossref_primary_10_1016_j_vibspec_2023_103562 crossref_primary_10_1016_j_saa_2019_03_105 crossref_primary_10_3390_agriculture12111796 crossref_primary_10_1016_j_foodchem_2015_11_023 crossref_primary_10_1155_2013_642190 crossref_primary_10_1142_S1793545818500050 crossref_primary_10_1016_j_saa_2024_124394 crossref_primary_10_3390_s150408749 crossref_primary_10_1016_j_saa_2023_122371 crossref_primary_10_1016_j_saa_2020_118553 crossref_primary_10_1016_j_compag_2019_104882 crossref_primary_10_1142_S1793545813500715 crossref_primary_10_1016_j_infrared_2021_103869 crossref_primary_10_1016_j_jcs_2014_07_009 crossref_primary_10_1016_j_saa_2019_04_028 crossref_primary_10_1016_j_microc_2023_108727 crossref_primary_10_1007_s12200_018_0804_2 crossref_primary_10_1039_C5AY02865E crossref_primary_10_1007_s00216_017_0218_9 crossref_primary_10_1080_07388551_2016_1206058 crossref_primary_10_3390_s18030700 crossref_primary_10_1007_s12161_017_0932_0 crossref_primary_10_1142_S1793545813500600 crossref_primary_10_1007_s10163_016_0468_1 crossref_primary_10_1111_jfpe_13411 crossref_primary_10_35633_inmateh_70_42 crossref_primary_10_1016_j_chemolab_2017_01_017 crossref_primary_10_3390_ijgi11020111 crossref_primary_10_1016_j_jfca_2023_105430 crossref_primary_10_1016_j_saa_2023_123726 crossref_primary_10_1016_j_postharvbio_2021_111810 crossref_primary_10_1080_00032719_2021_2021534 |
Cites_doi | 10.1021/ac011177u 10.1255/jnirs.299 10.1255/jnirs.338 10.1021/ac60214a047 10.1016/j.aca.2004.02.045 10.1021/jf0011283 10.1016/j.still.2004.12.006 10.1016/j.aca.2003.09.041 |
ContentType | Journal Article |
Copyright | 2011 Elsevier B.V. |
Copyright_xml | – notice: 2011 Elsevier B.V. |
DBID | AAYXX CITATION |
DOI | 10.1016/j.chemolab.2011.02.008 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Chemistry |
EISSN | 1873-3239 |
EndPage | 146 |
ExternalDocumentID | 10_1016_j_chemolab_2011_02_008 S0169743911000499 |
GroupedDBID | --- --K --M .DC .~1 0R~ 1B1 1RT 1~. 1~5 29B 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ 9JN AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARLI AAXUO ABAOU ABFNM ABFRF ABJNI ABMAC ABXDB ABYKQ ACAZW ACDAQ ACGFO ACGFS ACNNM ACRLP ADBBV ADECG ADEZE ADGUI ADMUD AEBSH AEFWE AEKER AENEX AFFNX AFKWA AFTJW AFZHZ AGHFR AGUBO AGYEJ AHHHB AIEXJ AIGVJ AIKHN AITUG AJBFU AJOXV AJQLL AJSZI ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ ARUGR ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FLBIZ FNPLU FYGXN G-Q GBLVA HMU HVGLF HZ~ IHE J1W KOM M36 M41 MHUIS MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG RNS ROL RPZ SCB SCH SDF SDG SDP SES SEW SPC SPCBC SSK SSW SSZ T5K UNMZH WUQ XFK XPP YK3 ~02 ~G- AAXKI AAYXX ACRPL ADNMO AFJKZ AKRWK CITATION |
ID | FETCH-LOGICAL-c378t-bd2e09b108c6d053ebb32f2e43c4276a2774b334df6153cd776fa668831097913 |
IEDL.DBID | AIKHN |
ISSN | 0169-7439 |
IngestDate | Fri Dec 06 04:07:25 EST 2024 Fri Feb 23 02:33:10 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Keywords | Soil organic matter MWPLS Stability SG smoothing NIR spectroscopy Waveband selection |
Language | English |
License | https://www.elsevier.com/tdm/userlicense/1.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c378t-bd2e09b108c6d053ebb32f2e43c4276a2774b334df6153cd776fa668831097913 |
PageCount | 8 |
ParticipantIDs | crossref_primary_10_1016_j_chemolab_2011_02_008 elsevier_sciencedirect_doi_10_1016_j_chemolab_2011_02_008 |
PublicationCentury | 2000 |
PublicationDate | 2011-05-01 |
PublicationDateYYYYMMDD | 2011-05-01 |
PublicationDate_xml | – month: 05 year: 2011 text: 2011-05-01 day: 01 |
PublicationDecade | 2010 |
PublicationTitle | Chemometrics and intelligent laboratory systems |
PublicationYear | 2011 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
References | Lu (bb0010) 2007 Savitzky, Golay (bb0035) 1964; 36 Du, Liang, Jiang, Berry, Ozaki (bb0065) 2004; 501 Cozzolino, Moron (bb0025) 2006; 85 Kasemsumran, Du, Murayama, Huehne, Ozaki (bb0060) 2004; 512 Xie, Pan, Chen, Chen, Ren (bb0045) 2010; 38 Cao, Pan, Chen (bb0050) 2007; 15 Reeves, McCarty, Reeves (bb0030) 2001; 49 Moron, Cozzolino (bb0015) 2002; 10 Jiang, Berry, Siesler, Ozaki (bb0055) 2002; 74 Confalonieri, Fornasier, Ursino (bb0020) 2001; 9 Chen, Pan, Chen (bb0040) 2006; 14 Burns, Ciurczak (bb0005) 2001 Savitzky (10.1016/j.chemolab.2011.02.008_bb0035) 1964; 36 Cao (10.1016/j.chemolab.2011.02.008_bb0050) 2007; 15 Burns (10.1016/j.chemolab.2011.02.008_bb0005) 2001 Confalonieri (10.1016/j.chemolab.2011.02.008_bb0020) 2001; 9 Lu (10.1016/j.chemolab.2011.02.008_bb0010) 2007 Xie (10.1016/j.chemolab.2011.02.008_bb0045) 2010; 38 Du (10.1016/j.chemolab.2011.02.008_bb0065) 2004; 501 Moron (10.1016/j.chemolab.2011.02.008_bb0015) 2002; 10 Cozzolino (10.1016/j.chemolab.2011.02.008_bb0025) 2006; 85 Kasemsumran (10.1016/j.chemolab.2011.02.008_bb0060) 2004; 512 Chen (10.1016/j.chemolab.2011.02.008_bb0040) 2006; 14 Reeves (10.1016/j.chemolab.2011.02.008_bb0030) 2001; 49 Jiang (10.1016/j.chemolab.2011.02.008_bb0055) 2002; 74 |
References_xml | – volume: 15 start-page: 1952 year: 2007 end-page: 1958 ident: bb0050 article-title: Choice of wave band in design of minitype near-infrared corn protein content analyzer publication-title: Opt. Precision Eng. contributor: fullname: Chen – volume: 501 start-page: 183 year: 2004 end-page: 191 ident: bb0065 article-title: Spectral regions to improve prediction ability of PLS modes by changeable size moving window partial least squares and searching combination moving window partial least squares publication-title: Anal. Chim. Acta contributor: fullname: Ozaki – volume: 49 start-page: 766 year: 2001 end-page: 772 ident: bb0030 article-title: Mid-infrared diffuse reflectance spectroscopy for the quantitative analysis of agricultural soils publication-title: J. Agric. Food Chem. contributor: fullname: Reeves – volume: 85 start-page: 78 year: 2006 end-page: 85 ident: bb0025 article-title: Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions publication-title: Soil Tillage Res. contributor: fullname: Moron – volume: 10 start-page: 215 year: 2002 end-page: 221 ident: bb0015 article-title: Application of near infrared reflectance spectroscopy for the analysis of organic C, total N and pH in soils of Uruguay publication-title: J. Near Infrared Spectrosc. contributor: fullname: Cozzolino – volume: 14 start-page: 1 year: 2006 end-page: 7 ident: bb0040 article-title: Application of second derivative spectrum prepares in quantification measuring glucose-6-phosphate and fructose-6-phosphate using a FTIR/ATR method publication-title: Opt. Precision Eng. contributor: fullname: Chen – year: 2007 ident: bb0010 article-title: Modern Near Infrared Spectroscopy Analytical Technology contributor: fullname: Lu – volume: 38 start-page: 342 year: 2010 end-page: 346 ident: bb0045 article-title: Joint optimization of Savitzky–Golay smoothing models and partial least squares factors for near-infrared spectroscopic analysis of serum glucose publication-title: Chin. J. Anal. Chem. contributor: fullname: Ren – year: 2001 ident: bb0005 article-title: Handbook of Near-Infrared Analysis contributor: fullname: Ciurczak – volume: 512 start-page: 223 year: 2004 end-page: 230 ident: bb0060 article-title: Near-infrared spectroscopic determination of human serum albumin, γ-globulin, and glucose in a control serum solution with searching combination moving window partial least squares publication-title: Anal. Chim. Acta contributor: fullname: Ozaki – volume: 36 start-page: 1627 year: 1964 end-page: 1637 ident: bb0035 article-title: Smoothing and differentiation of data by simplified least squares procedures publication-title: Anal. Chem. contributor: fullname: Golay – volume: 9 start-page: 123 year: 2001 end-page: 131 ident: bb0020 article-title: The potential of near infrared reflectance spectroscopy as a tool for the chemical characterization of agricultural soils publication-title: J. Near Infrared Spectrosc. contributor: fullname: Ursino – volume: 74 start-page: 3555 year: 2002 end-page: 3565 ident: bb0055 article-title: Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data publication-title: Anal. Chem. contributor: fullname: Ozaki – volume: 15 start-page: 1952 issue: 12 year: 2007 ident: 10.1016/j.chemolab.2011.02.008_bb0050 article-title: Choice of wave band in design of minitype near-infrared corn protein content analyzer publication-title: Opt. Precision Eng. contributor: fullname: Cao – volume: 74 start-page: 3555 year: 2002 ident: 10.1016/j.chemolab.2011.02.008_bb0055 article-title: Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-infrared spectroscopic data publication-title: Anal. Chem. doi: 10.1021/ac011177u contributor: fullname: Jiang – volume: 9 start-page: 123 year: 2001 ident: 10.1016/j.chemolab.2011.02.008_bb0020 article-title: The potential of near infrared reflectance spectroscopy as a tool for the chemical characterization of agricultural soils publication-title: J. Near Infrared Spectrosc. doi: 10.1255/jnirs.299 contributor: fullname: Confalonieri – volume: 14 start-page: 1 issue: 1 year: 2006 ident: 10.1016/j.chemolab.2011.02.008_bb0040 article-title: Application of second derivative spectrum prepares in quantification measuring glucose-6-phosphate and fructose-6-phosphate using a FTIR/ATR method publication-title: Opt. Precision Eng. contributor: fullname: Chen – volume: 10 start-page: 215 year: 2002 ident: 10.1016/j.chemolab.2011.02.008_bb0015 article-title: Application of near infrared reflectance spectroscopy for the analysis of organic C, total N and pH in soils of Uruguay publication-title: J. Near Infrared Spectrosc. doi: 10.1255/jnirs.338 contributor: fullname: Moron – volume: 36 start-page: 1627 issue: 8 year: 1964 ident: 10.1016/j.chemolab.2011.02.008_bb0035 article-title: Smoothing and differentiation of data by simplified least squares procedures publication-title: Anal. Chem. doi: 10.1021/ac60214a047 contributor: fullname: Savitzky – volume: 512 start-page: 223 year: 2004 ident: 10.1016/j.chemolab.2011.02.008_bb0060 article-title: Near-infrared spectroscopic determination of human serum albumin, γ-globulin, and glucose in a control serum solution with searching combination moving window partial least squares publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2004.02.045 contributor: fullname: Kasemsumran – year: 2007 ident: 10.1016/j.chemolab.2011.02.008_bb0010 contributor: fullname: Lu – volume: 38 start-page: 342 issue: 3 year: 2010 ident: 10.1016/j.chemolab.2011.02.008_bb0045 article-title: Joint optimization of Savitzky–Golay smoothing models and partial least squares factors for near-infrared spectroscopic analysis of serum glucose publication-title: Chin. J. Anal. Chem. contributor: fullname: Xie – volume: 49 start-page: 766 year: 2001 ident: 10.1016/j.chemolab.2011.02.008_bb0030 article-title: Mid-infrared diffuse reflectance spectroscopy for the quantitative analysis of agricultural soils publication-title: J. Agric. Food Chem. doi: 10.1021/jf0011283 contributor: fullname: Reeves – year: 2001 ident: 10.1016/j.chemolab.2011.02.008_bb0005 contributor: fullname: Burns – volume: 85 start-page: 78 year: 2006 ident: 10.1016/j.chemolab.2011.02.008_bb0025 article-title: Potential of near-infrared reflectance spectroscopy and chemometrics to predict soil organic carbon fractions publication-title: Soil Tillage Res. doi: 10.1016/j.still.2004.12.006 contributor: fullname: Cozzolino – volume: 501 start-page: 183 year: 2004 ident: 10.1016/j.chemolab.2011.02.008_bb0065 article-title: Spectral regions to improve prediction ability of PLS modes by changeable size moving window partial least squares and searching combination moving window partial least squares publication-title: Anal. Chim. Acta doi: 10.1016/j.aca.2003.09.041 contributor: fullname: Du |
SSID | ssj0016941 |
Score | 2.4234843 |
Snippet | Savitzky–Golay (SG) smoothing and moving window partial least square (MWPLS) methods were applied to the model optimization and the waveband selection for... |
SourceID | crossref elsevier |
SourceType | Aggregation Database Publisher |
StartPage | 139 |
SubjectTerms | MWPLS NIR spectroscopy SG smoothing Soil organic matter Stability Waveband selection |
Title | Waveband selection for NIR spectroscopy analysis of soil organic matter based on SG smoothing and MWPLS methods |
URI | https://dx.doi.org/10.1016/j.chemolab.2011.02.008 |
Volume | 107 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3LSsNAFB1qu9CN-MT6KLNwm-YxaSazLMXaqi1iLe1umJlMoMUmxVTBjd_u3DykguDCbcgN4Uxyz5nHPReh69DQlpn6SCtiHc_yNaGWYMS3qAodqaRDYgnrkKNxMJj6d_POvIZ6VS0MHKssc3-R0_NsXV6xSzTt9WJhT8BHBOQ0mJ6BcN9BDUNHsFfb6A7vB-PvzQSo1SwsvpkFAVuFwsu2gWZlJpGydPME-87wd47a4p3-AdovBSPuFu90iGo6OUK7vapP2zFKZ-JdS5FEOMt72higsVGieDx8wnkdJfhVpusPLEr_EZzGOEsXL7jo6KTwKvfYxEBoETbRk1ucrVIzhIbWMDx4NHt8mOCi2XR2gqb9m-fewCrbKFiK0HBjycjTDpOuE6ogMv-clpJ4sad9onyPBsIzClAS4kcxiD8VURrEIghCaEHGKHPJKaonaaLPEA68SAlCfSGN8qJaMNlxBNEh3C-0GzeRXQHH14VbBq-OkS15BTUHqLnjcQN1E7EKX_5j3LlJ6X_Env8j9gLtFavDcHTxEtU3r2_6ysiLjWyhnfan2yo_oi9CBM-s |
link.rule.ids | 314,780,784,4502,24116,27924,27925,45585,45679 |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NS8NAEF1qPdSL-In1cw9e06TZJJscpVirtkVsS3tbdpMNtNikmCp48bc7kw-pIHjwGnZDeLuZebvMvEfItQ9pC44-yogC1zYczbghA-YYPPQtFSqLxQrvIQdDrzdxHmburEY6VS8MllWWsb-I6Xm0Lp-YJZrmaj43R6gjgnQaRc-QuG-RbccF9gubuvX5XefRxk7NQuA7MHD4RpvwogXALOEIqUotTxTv9H_PUBtZp7tHdku6SG-KL9onNZ0ckEancmk7JOlUvmslk4hmuaMNwEyBh9Lh_TPNuyhRrTJdfVBZqo_QNKZZOn-hhZ9TSJe5wibFdBZRmD26o9kyhQWEpEbxxYPpU39EC6vp7IhMurfjTs8oTRSMkHF_bajI1lag2pYfehH8cVopZse2dljo2NyTNvA_xZgTxUj9wohzL5ae56MBWcCDNjsm9SRN9Amhnh2FknFHKuBdXMtAuZZk2sfxUrfjJjEr4MSq0MoQVRHZQlRQC4RaWLYAqJskqPAVP1ZdQED_Y-7pP-ZekUZvPOiL_v3w8YzsFPfEWMR4Turr1zd9AURjrS7zjfQFIXPQhQ |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Waveband+selection+for+NIR+spectroscopy+analysis+of+soil+organic+matter+based+on+SG+smoothing+and+MWPLS+methods&rft.jtitle=Chemometrics+and+intelligent+laboratory+systems&rft.au=Chen%2C+Huazhou&rft.au=Pan%2C+Tao&rft.au=Chen%2C+Jiemei&rft.au=Lu%2C+Qipeng&rft.date=2011-05-01&rft.pub=Elsevier+B.V&rft.issn=0169-7439&rft.eissn=1873-3239&rft.volume=107&rft.issue=1&rft.spage=139&rft.epage=146&rft_id=info:doi/10.1016%2Fj.chemolab.2011.02.008&rft.externalDocID=S0169743911000499 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0169-7439&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0169-7439&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0169-7439&client=summon |