Robustness of models based on NIR spectra for sugar content prediction in apples

Journal of Near Infrared Spectroscopy

Volumn 11, Issue 2, 2003, Pages 97-107

  Sánchez, Natalia Hernández ^a   Lurol, Sébastien ^b   Roger, Jean Michel ^b   Bellon Maurel, Véronique ^b  

^a Electrotechnical Section   (Spain)

^b CEMAGREF   (France)

Author keywords

Apple; Near infrared spectroscopy (NIR); Partial least squares regression (PLS); Repeatibility; Reproducibility; Robustness; Sugar content prediction; Temperature influence

Indexed keywords

SUGAR;

ACCURACY; ANALYTICAL ERROR; APPLE; ARTICLE; CARBOHYDRATE ANALYSIS; CORRELATION ANALYSIS; ENVIRONMENTAL TEMPERATURE; FOOD ANALYSIS; INFRARED RADIATION; NEAR INFRARED SPECTROSCOPY; NONLINEAR SYSTEM; PARAMETER; PREDICTION; REPRODUCIBILITY; SPECTROMETER; STATISTICAL MODEL; TEMPERATURE DEPENDENCE;

EID: 0038543042     PISSN: 09670335     EISSN: None     Source Type: Journal    
DOI: 10.1255/jnirs.358     Document Type: Article

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