Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes

Computers and Electronics in Agriculture

Volumn 87, Issue , 2012, Pages 142-151

  Baiano, Antonietta ^a   Terracone, Carmela ^a   Peri, Giorgio ^a   Romaniello, Roberto ^a  

^a UNIVERSITY OF FOGGIA   (Italy)

Author keywords

Hyperspectral imaging; Prediction; Sensory analysis; Sugar content; Table grape

Indexed keywords

DESCRIPTIVE SENSORY ANALYSIS; GOOD CORRELATIONS; HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING SYSTEMS; PARTIAL LEAST-SQUARES REGRESSION; PHYSICO-CHEMICALS; REFLECTANCE SPECTRUM; RELATIVE VALUE; SENSORY ANALYSIS; SENSORY CHARACTERISTICS; SENSORY DATA; SOLUBLE SOLID CONTENT; SPECTRA INFORMATION; SUGAR CONTENT; TABLE GRAPES; THOMPSON; TITRATABLE ACIDITY;

FORECASTING; IMAGING TECHNIQUES; SENSORY PERCEPTION;

FRUITS;

CULTIVAR; DATA SET; PHYSICOCHEMICAL PROPERTY; PREDICTION; SENSORY SYSTEM; SPECTRAL REFLECTANCE; SUGAR; VINE;

VITACEAE;

EID: 84863492766     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2012.06.002     Document Type: Article

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