Prediction of soluble solids content of pineapple via non-invasive low cost visible and shortwave near infrared spectroscopy and artificial neural network

Biosystems Engineering

Volumn 113, Issue 2, 2012, Pages 158-165

  Chia, Kim Seng ^a   Abdul Rahim, Herlina ^a   Abdul Rahim, Ruzairi ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; COSTS; FORECASTING; INFRARED DEVICES; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; SPECTROMETERS;

CORRELATION COEFFICIENT; FIRST ORDER DERIVATIVES; ROBUST PRINCIPAL COMPONENT ANALYSIS; ROBUST PRINCIPAL COMPONENTS; ROOT MEAN SQUARE ERROR OF CALIBRATIONS; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SHORT-WAVE NEAR-INFRARED; SOLUBLE SOLIDS CONTENT;

NEURAL NETWORKS;

ANANAS COMOSUS;

EID: 84865979790     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2012.07.003     Document Type: Article

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