Prediction of soluble solids content of pineapple via non-invasive low cost visible and shortwave near infrared spectroscopy and artificial neural network-Reference-Cited by-同舟云学术

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

Published:2012-10 Issue:2 Volume:113 Page:158-165
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Chia Kim Seng,Abdul Rahim Herlina,Abdul Rahim Ruzairi

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference31 articles.

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3. Comparisons of different regressions tools in measurement of antioxidant activity in green tea using near infrared spectroscopy;Chen;Journal of Pharmaceutical and Biomedical Analysis,2012

4. Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison;Chia;Journal of Zhejiang University SCIENCE B,2012

5. Residuals and influence in regression;Cook,1982

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