Mutispectral Reflectance Imaging for Non-destructive Estimation Navel Orange SSC and Flesh Firmness
Mutispectral reflectance imaging combined with multi-linear analysis appears as new,efficient and cheap method for detecting soluble solids content (SSC) and firmness of navel orange. Six hundred spectral imaging from a combination of filter 632nm、650nm、 670nm、 780nm、 850nm and 900nm and laser source mode were acquired for each orange sample. The Lorentzian distribution (LD),Gaussian distribution (GD) and Exponential distribution (ED) with three parameters were used to fit scattering profiles of each spectral imaging. LD was found to be the best function for fitting gray distribution of imaging. The multi-linear regression model were development relating Lorentzian parameters to fruit firmness and SSC using single wavelength, double wavelengths, three wavelengths and four wavelengths respectively. The best model with four wavelengths was able to predict orange flesh firmness with r=0.902, SEP=0.23 N, and predict orange SSC with r=0.863, SEP=0.69° Brix.Results show that the multispectral scattering imaging is a nondestructive, fast and cheap method for estimating fruit SSC and firmness.
Multispectral imaging soluble solids content firmness Multi-linear regression orange
LIU Muhua LI Jing
Jiangxi Agricultural University, Nanchang, P.R.China, 330045
国际会议
2008 International Conference on IAEA(2008农业信息化、自动化与电气化国际会议)
镇江
英文
151-157
2008-11-01（万方平台首次上网日期，不代表论文的发表时间）