Paper
28 October 2009 A portable Vis-NIR spectrometer to determine soluble solids content in Gannan navel orange by LS-SVM and EWs selection
Yande Liu, Yuanyuan Pan M.D., Aiguo Ouyang, Xudong Sun, Hailiang Zhang
Author Affiliations +
Abstract
The objective of this paper was to determine soluble solids content (SSC) of intact Gannan navel orange by a portable near-infrared (NIR) spectrometer with the optical fiber in the wavelength range of 551~950nm. The effective wavelength regions (EWs) were chosen from the spectra pro-processed by second derivative by interval partial least square (iPLS) and backward interval partial least square (Bipls). Then the partial least square (PLS) and least square support vector machine (LS-SVM) models were developed with EWs. 60 unknown samples were used to evaluate the performance of them. The LS-SVM model was better than others with EWs chosen by Bilps. The correlation coefficient (R) and root mean square error of prediction (RMSEP) for LS-SVM (Bipls) were 0.86 and 0.55°Brix. The results showed that the portable NIR combination with LS-SVM was a feasible method to determine SSC of intact Gannan navel orange nondestructively.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yande Liu, Yuanyuan Pan M.D., Aiguo Ouyang, Xudong Sun, and Hailiang Zhang "A portable Vis-NIR spectrometer to determine soluble solids content in Gannan navel orange by LS-SVM and EWs selection", Proc. SPIE 7519, Eighth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2009), 751906 (28 October 2009); https://doi.org/10.1117/12.843362
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Cited by 2 scholarly publications.
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KEYWORDS
Calibration

Near infrared

Algorithm development

Spectroscopy

Performance modeling

Solids

Statistical modeling

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