Peach maturity/quality assessment using hyperspectral imaging-based spatially resolved technique

Haiyan Cen; Renfu Lu; Fernando A. Mendoza; Diwan P. Ariana

doi:10.1117/12.883573

2 June 2011 Peach maturity/quality assessment using hyperspectral imaging-based spatially resolved technique

Haiyan Cen, Renfu Lu, Fernando A. Mendoza, Diwan P. Ariana

Proceedings Volume 8027, Sensing for Agriculture and Food Quality and Safety III; 80270L (2011) https://doi.org/10.1117/12.883573
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

The objective of this research was to measure the absorption (μ_a) and reduced scattering coefficients (μ_s') of peaches, using a hyperspectral imaging-based spatially-resolved method, for their maturity/quality assessment. A newly developed optical property measuring instrument was used for acquiring hyperspectral reflectance images of 500 'Redstar' peaches. μ_a and μ_s' spectra for 515-1,000 nm were extracted from the spatially-resolved reflectance profiles using a diffusion model coupled with an inverse algorithm. The absorption spectra of peach fruit presented several absorption peaks around 525 nm for anthocyanin, 620 nm for chlorophyll-b, 675 nm for chlorophyll-a, and 970 nm for water, while μ_s' decreased consistently with the increase of wavelength for most of the tested samples. Both μ_a and μ_s' were correlated with peach firmness, soluble solids content (SSC), and skin and flesh color parameters. Better prediction results for partial least squares models were obtained using the combined values of μ_a and μ_s' (i.e., μ_a × μ_s' and μ_eff) than using μ_a or μ_s', where μ_eff = [3 μ_a (μ_a + μ_s')]^1/2 is the effective attenuation coefficient. The results were further improved using least squares support vector machine models with values of the best correlation coefficient for firmness, SSC, skin lightness and flesh lightness being 0.749 (standard error of prediction or SEP = 17.39 N), 0.504 (SEP = 0.92 °Brix), 0.898 (SEP = 3.45), and 0.741 (SEP = 3.27), respectively. These results compared favorably to acoustic and impact firmness measurements with the correlation coefficient of 0.639 and 0.631, respectively. Hyperspectral imaging-based spatially-resolved technique is useful for measuring the optical properties of peach fruit, and it also has good potential for assessing fruit maturity/quality attributes.

Citation Download Citation

Haiyan Cen, Renfu Lu, Fernando A. Mendoza, and Diwan P. Ariana "Peach maturity/quality assessment using hyperspectral imaging-based spatially resolved technique", Proc. SPIE 8027, Sensing for Agriculture and Food Quality and Safety III, 80270L (2 June 2011); https://doi.org/10.1117/12.883573

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