Non-destructive prediction of chemical composition in sunflower seeds by near infrared spectroscopy

Industrial Crops and Products

Volumn 20, Issue 3, 2004, Pages 321-329

  Fassio, A ^a   Cozzolino, D ^a,b  

^a INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA INIA   (Uruguay)

^b AUSTRALIAN WINE RESEARCH INSTITUTE   (Australia)

Author keywords

Crude protein; Helianthus annuus L.; Intact seeds; Moisture; Near infrared reflectance spectroscopy; Oil; Sunflower

Indexed keywords

COMPOSITION; CROPS; ERROR ANALYSIS; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; MOISTURE; PROTEINS; REGRESSION ANALYSIS; STANDARDS;

CROSS-VALIDATION; PREDICTION MODELS;

SEED;

CHEMICAL COMPOSITION; INFRARED SPECTROSCOPY; SEED;

HELIANTHUS; HELIANTHUS ANNUUS;

EID: 4844220365     PISSN: 09266690     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.indcrop.2003.11.004     Document Type: Article

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