Prediction of soluble solids content of pineapple via non-invasive low cost visible and shortwave near infrared spectroscopy and artificial neural network
The potential of a combination of a low cost visible and shortwave near infrared (VIS-SWNIR) spectrometer and an artificial neural network in the non-invasive soluble solids content assessment of pineapple was evaluated. Four data sets (i.e. VIS-SWNIR spectra and soluble solids content reference) of...
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| Main Authors: | , , |
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| Format: | Article |
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Elsevier
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33470/ http://dx.doi.org/10.1016/j.biosystemseng.2012.07.003 |
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