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|
|State||Published - Jul 7 2019|
|Event||2019 ASABE Annual International Meeting - Boston, United States|
Duration: Jul 7 2019 → Jul 10 2019
|Conference||2019 ASABE Annual International Meeting|
|Period||7/7/19 → 7/10/19|