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Rapid Characterization and Prediction of Biomass Properties via Statistical Techniques
2012
Clean Technology
The use of renewable energies has been required to diminish the dependency on fossil fuels. As one of clean energy sources biomass has been extensively studied because various biomass resources necessitated rapid characterization of their chemical and physical properties in an on-line or real-time basis. For such an analysis near-infrared (NIR) spectroscopy has been successfully applied because of its non-invasive and informative characteristics. In this work, the applicability of nonlinear
doi:10.7464/ksct.2012.18.3.265
fatcat:ixen4lpmzrci7p72y4fmv4g7iy