Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy

Geoderma

Volumn 310, Issue , 2018, Pages 29-43

  Xu, Shengxiang ^a   Zhao, Yongcun ^a   Wang, Meiyan ^a   Shi, Xuezheng ^a  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

Back propagation neural network; Paddy soils; Partial least squares regression; Soil properties; Support vector machine regression; Vis NIR spectroscopy

Indexed keywords

BACKPROPAGATION; CALIBRATION; FORECASTING; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES; SUPPORT VECTOR REGRESSION; TORSIONAL STRESS;

BACK PROPAGATION NEURAL NETWORKS; NIR SPECTROSCOPY; PADDY SOILS; PARTIAL LEAST SQUARES REGRESSION; SOIL PROPERTY; SUPPORT VECTOR MACHINE REGRESSIONS;

SOILS;

AGRICULTURAL SOIL; ARTIFICIAL NEURAL NETWORK; CALIBRATION; COMPARATIVE STUDY; ESTIMATION METHOD; INFRARED SPECTROSCOPY; LEAST SQUARES METHOD; MODEL VALIDATION; MULTIVARIATE ANALYSIS; PADDY FIELD; SOIL PROPERTY; SUPPORT VECTOR MACHINE;

CHINA; JIANGXI; YUJIANG;

EID: 85029405976     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2017.09.013     Document Type: Article

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