NIR/MIR spectroscopy in tandem with chemometrics for rapid identification and evaluation of potato variety and doneness degree

Wen-Hao Su; Serafim Bakalis; Da-Wen Sun

doi:10.13031/aim.201900120

NIR/MIR spectroscopy in tandem with chemometrics for rapid identification and evaluation of potato variety and doneness degree

Wen-Hao Su, Serafim Bakalis, Da-Wen Sun

Bioproducts and Biosystems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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. NIR-PLSR and MIR-PLSR models were effectively used to predict tuber doneness degree, yielding the RP as high as 0.954 and the RMSEP as low as of 0.421. It is concluded that both NIR and MIR spectroscopic techniques are capable of classifying potato varieties and determining potato doneness degree.

Original language	English (US)
Title of host publication	2019 ASABE (American Society of Agricultural and Biological Engineers) Annual International Meeting
DOIs	https://doi.org/10.13031/aim.201900120
State	Published - Jul 7 2019
Event	2019 ASABE Annual International Meeting - Boston, United States Duration: Jul 7 2019 → Jul 10 2019

Conference

Conference	2019 ASABE Annual International Meeting
Country/Territory	United States
City	Boston
Period	7/7/19 → 7/10/19

Keywords

ATR-MIR
HCA
NIR
PLSR
Potato

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Su, W-H, Bakalis, S & Sun, D-W 2019, NIR/MIR spectroscopy in tandem with chemometrics for rapid identification and evaluation of potato variety and doneness degree. in 2019 ASABE (American Society of Agricultural and Biological Engineers) Annual International Meeting. 2019 ASABE Annual International Meeting, Boston, United States, 7/7/19. https://doi.org/10.13031/aim.201900120

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title = "NIR/MIR spectroscopy in tandem with chemometrics for rapid identification and evaluation of potato variety and doneness degree",

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. NIR-PLSR and MIR-PLSR models were effectively used to predict tuber doneness degree, yielding the RP as high as 0.954 and the RMSEP as low as of 0.421. It is concluded that both NIR and MIR spectroscopic techniques are capable of classifying potato varieties and determining potato doneness degree.",

keywords = "ATR-MIR, HCA, NIR, PLSR, Potato",

author = "Wen-Hao Su and Serafim Bakalis and Da-Wen Sun",

year = "2019",

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doi = "10.13031/aim.201900120",

language = "English (US)",

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AU - Su, Wen-Hao

AU - Bakalis, Serafim

AU - Sun, Da-Wen

PY - 2019/7/7

Y1 - 2019/7/7

N2 - 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. NIR-PLSR and MIR-PLSR models were effectively used to predict tuber doneness degree, yielding the RP as high as 0.954 and the RMSEP as low as of 0.421. It is concluded that both NIR and MIR spectroscopic techniques are capable of classifying potato varieties and determining potato doneness degree.

AB - 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. NIR-PLSR and MIR-PLSR models were effectively used to predict tuber doneness degree, yielding the RP as high as 0.954 and the RMSEP as low as of 0.421. It is concluded that both NIR and MIR spectroscopic techniques are capable of classifying potato varieties and determining potato doneness degree.

KW - ATR-MIR

KW - HCA

KW - NIR

KW - PLSR

KW - Potato

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M3 - Conference contribution

BT - 2019 ASABE (American Society of Agricultural and Biological Engineers) Annual International Meeting

T2 - 2019 ASABE Annual International Meeting

Y2 - 7 July 2019 through 10 July 2019

ER -

NIR/MIR spectroscopy in tandem with chemometrics for rapid identification and evaluation of potato variety and doneness degree

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