Predicting ASTA color values of peppers via LED-induced fluorescence

Abstract

American Spice Trade Association (ASTA) color value is a key factor for determining the commercial value of red pepper. This study investigates the potential of predicting ASTA color values of red pepper using LED-induced fluorescence. Excitation emission matrixes (EEMs) were first obtained in a front-face configuration. To determine the excitation wavelengths for LED-induced fluorescence measurement, parallel factor analysis (PARAFAC) combined with EEMs were used. According to PARAFAC, 375 nm was selected be the peak wavelength of the excitation light source of the LED-induced fluorescence system. The spectra obtained from the system were used to predict ASTA color values using partial least squares regression (PLSR) and support vector machine (SVM). With optimal preprocessing method, the highest correlation coefficients of prediction (Rₚ) could reach 0.971 with RMSEP of 3.672, RPD of 3.563 and REP of 6.170. Results revealed that LED-induced fluorescence has the potential for rapid prediction of ASTA color values of red peppers.

Plant phenotyping relevance

LED誘導蛍光と回帰モデルにより、赤ピーマンの色値という果実形質を予測する測定法の開発・評価が中心であり、単なる生物学的実験のルーチン測定ではない。

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