Predicting foliar biochemistry of tea (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 78, Issue , 2013, Pages 148-156

  Bian, Meng ^a,b   Skidmore, Andrew K ^a   Schlerf, Martin ^a   Wang, Tiejun ^a   Liu, Yanfang ^b   Zeng, Rong ^a   Fei, Teng ^a,b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b WUHAN UNIVERSITY   (China)

Author keywords

Field spectroscopy; Free amino acids; Partial least squares regression; Soluble sugars; Tea quality; Total tea polyphenols

Indexed keywords

AMINO ACIDS; CHEMICAL COMPOUNDS; FORECASTING; MEAN SQUARE ERROR; SUGARS;

FIELD SPECTROSCOPY; FREE AMINO ACIDS; PARTIAL LEAST SQUARES REGRESSION; SOLUBLE SUGARS; TEA POLYPHENOLS;

PHENOLS;

BIOCHEMICAL COMPOSITION; BIOCHEMISTRY; CHEMICAL COMPOUND; CONCENTRATION (COMPOSITION); OBSERVATIONAL METHOD; ORGANIC COMPOUND; PREDICTION; REGRESSION ANALYSIS; SPECTRAL REFLECTANCE; TEA; WAVELENGTH;

CAMELLIA SINENSIS;

EID: 84874793167     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.02.002     Document Type: Article

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