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Analysis of hyperspectral scattering characteristics for predicting the bruising susceptibility of apple
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: 2015 ASABE Annual International Meeting 152189142.(doi:10.13031/aim.20152189142)
Authors: Jiyu Guan, Qibing Zhu, Min Huang
Keywords: Apple; Bruise susceptibility; Hyperspectral scattering images; Spectral scattering; prediction; algorithm
Hyperspectral scattering is a promise technique for assessing the apple quality, and extraction of the most useful information from the spectral scattering profiles is critical for accurate assessment of apple bruising susceptibility. This paper analyzed three methods including a diffusion theory model, a four-parameter Lorentzian distribution function and a generalized Gaussian distribution for characterization of the spectral scattering profiles acquired from300 ‘Golden Delicious’ apples by a hyperspectral imaging system over the wavelength region of 500-1000 nm. Partial least squares (PLS) algorithm was used to develop the calibration models for predicting the bruising susceptibility. The correlation coefficient of prediction (