A method combining FTIR-ATR and Raman spectroscopy to determine soil organic matter: Improvement of prediction accuracy using competitive adaptive reweighted sampling (CARS)

• Published in: Computers and electronics in agriculture Vol. 191; p. 106549
• Main Authors: Xing, Zhe, Du, Changwen, Shen, Yazhen, Ma, Fei, Zhou, Jianmin
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.12.2021; Elsevier BV
• Subjects: Adaptive sampling; agriculture; Algorithms; CARS algorithm; Chemical analysis; Data integration; electronics; Fourier transforms; FTIR-ATR spectroscopy; Infrared reflection; Infrared spectroscopy; Least squares method; Organic matter; Performance prediction; prediction; Prediction models; Raman spectra; Raman spectroscopy; Soil fertility; Soil improvement; soil organic matter; Soil properties; SOM prediction; Spectrum analysis; Variable selection; CARS algorithm; FTIR-ATR spectroscopy; Raman spectroscopy; SOM prediction; Variable selection

[Display omitted] •Combination of Raman and ATR spectroscopies to predict the content of SOM.•Reduction of RMSEP of prediction model with the application of CARS algorithm.•Improved performance of models based on fused spectra with selected variables. Determination of soil organic matter (SOM) is ex...