Band-specific segmented extinction correction enhances apple soluble solids content prediction using VIS/NIR spectroscopy.

Abstract

Accurate prediction of apple soluble solids content (SSC) is essential for fruit quality evaluation. Aiming at the problem of spectral aberration caused by the variation of fruit diameter in the existing visible/near infrared spectroscopy (VIS/NIR) detection, a novel spectral correction strategy was proposed in this study. By systematically analysing the correlation law between light intensity attenuation and fruit size in different wavelength bands (600-1000 nm), it was found that the traditional single-parameter correction models (exponential function method, hyperbolic sine function method) had limitations of applicability in a wide spectral range. Based on this, this paper innovatively proposed the band-specific segmented extinction correction method, established the mapping relationship between spectral intervals and size compensation parameters, and realised the multi-band synergistic correction. Experiments showed that the extinction coefficient method based on the exponential function and the diameter transformation method based on the hyperbolic sine function exhibited significant results in spectral correction for specific bands, resulting in a 6 %-10 % improvement in modelling accuracy at global size. However, when we introduced the band-specific segmented extinction correction, the spectra were effectively corrected over the entire band range, the light intensity differences between samples of different sizes were significantly reduced, and the modelling accuracy at global size jumped by 15 %. Specifically, the partial least squares regression (PLSR) model had a coefficient of determination (R 2 ) of 0.90 and a root mean square error (RMSE) of 0.55, and the convolutional neural network (CNN) model had the R 2 of 0.95 and the RMSE of 0.44, after corrected for the band-specific segmented extinction. Finally, this paper set up additional validation experiments to test the calibration effect of the three methods, and the results showed that band-specific segmented extinction correction method improved the modelling effect of the model most significantly. Therefore, the band-specific segmented extinction correction method proposed could effectively reduce the effect of apple diameter on the transmission spectrum and further improve the apple SSC's prediction accuracy.

Plant phenotyping relevance

リンゴ果実の可溶性固形分を推定するVIS/NIR分光法について、果径補正アルゴリズムを開発し、追加検証実験で性能を比較しており、植物形質取得法が研究の中心である。

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