Identifying plant part composition of forest logging residue using infrared spectral data and linear discriminant analysis

Sensors (Switzerland)

Volumn 16, Issue 9, 2016, Pages

  Acquah, Gifty E ^a   Via, Brian K ^a   Billor, Nedret ^a   Fasina, Oladiran O ^b   Eckhardt, Lori G ^a  

^a AUBURN UNIVERSITY   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

Bioeconomy; Forest biomass; Fourier transform infrared spectroscopy; Linear discriminant analysis; Near infrared spectroscopy; Principal component analysis; Process optimization

Indexed keywords

BIOMASS; CARBON; CHEMICAL ANALYSIS; COST EFFECTIVENESS; DATA HANDLING; DISCRIMINANT ANALYSIS; FEEDSTOCKS; FORESTRY; INFRARED DEVICES; MATHEMATICAL TRANSFORMATIONS; NEAR INFRARED SPECTROSCOPY; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL; QUALITY ASSURANCE; QUALITY CONTROL; SPECTRUM ANALYSIS;

BIOECONOMY; CLASSIFICATION ACCURACY; COMPOSITIONAL VARIABILITY; FOREST BIOMASS; IN-PROCESS PARAMETERS; LINEAR DISCRIMINANT ANALYSIS; LINEAR DISCRIMINANT FUNCTIONS; THERMOCHEMICAL PROPERTIES;

FOURIER TRANSFORM INFRARED SPECTROSCOPY;

ANATOMY AND HISTOLOGY; DISCRIMINANT ANALYSIS; FOREST; INFRARED SPECTROSCOPY; NEAR INFRARED SPECTROSCOPY; PLANT; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY;

DISCRIMINANT ANALYSIS; FORESTS; PLANTS; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; SPECTROSCOPY, NEAR-INFRARED;

EID: 84984832911     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16091375     Document Type: Article

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