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Potato hierarchical clustering and doneness degree determination by near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy

  • Wen-Hao Su
  • Serafim Bakalis
  • Da-Wen SunEmail author
Original Paper
  • 21 Downloads

Abstract

Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy were used to identify potato varieties and detect potato doneness degree. The varieties of potato tubers can be successfully classified by hierarchical cluster analysis (HCA). The partial least squares regression (PLSR) model exhibited good prediction result for the doneness degree evaluation. Principal component and first-derivative iteration algorithm (PCFIA) was introduced to select feature variables instead of using the full wavelength spectra for modelling. Based on two sets of feature variables selected from NIR and MIR regions, both NIR–PCFIA–HCA and MIR–PCFIA–HCA showed higher performances of hierarchical clustering. Moreover, NIR–PCFIA–PLSR and MIR–PCFIA–PLSR models were effectively used to predict tuber doneness degree, yielding the RP as high as 0.935 and the RMSEP as low as of 0.503. It is concluded that the PCFIA is an effective approach for feature variable selection, and both NIR and MIR spectroscopic techniques are capable of classifying potato varieties and determining potato doneness degree.

Keywords

NIR ATR-MIR Potato HCA PLSR Variable selection 

Notes

Acknowledgements

The authors would like to acknowledge ERASMUS plus programme of quantitative tools for sustainable food and energy in the food chain (Q-Safe) (Project No. 2014-1-MT01-KA200-000327) supported by European Union, and the UCD-CSC Scholarship Scheme supported by University College Dublin (UCD) and China Scholarship Council (CSC).

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Food Refrigeration and Computerised Food Technology (FRCFT), School of Biosystems and Food Engineering, Agriculture & Food Science Centre, University College Dublin (UCD)National University of IrelandDublin 4Ireland
  2. 2.Department of Chemical and Environmental EngineeringUniversity of NottinghamNottinghamUK

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