Application of Laser on Nondestructive Detection of Fruit Quality

摘要

In this study, a hyperspectral imaging system using a laser source was developed and two experiments were carriedout. The first experiment was detection of pesticide residue on navel orange surface. We calculated the mean intensity ofregions of interest to plot the curves between 629nm to 638nm. The analysis of the mean intensity curves showed thatthe mean intensity can be described by a characteristic Gaussian curve equation. The coefficients a in characteristicequations of 0%, 0.1% and 0.5% fenvalerate residue images were more than 2400, 1570-2400 and less than 1570,respectively. So we suggest using equation coefficient a to detect pesticide residue on navel orange surface. The secondexperiment was predicting firmness, sugar content and vitamin C content of kiwi fruit. The optimal wavelength range ofthe kiwi fruit firmness, sugar content, vitamin C content line regressing prediction model were 680-711nm, 674-708nm,669-701 nm. The correlation coefficients (R) of prediction models for firmness, sugar content and vitamin C content were 0.898, 0.932 and 0.918. The mean errors of validation results were 0.35 x 105Pa, 0.32%Brix and 7mg/100g. The experimental results indicate that a hyperspectral imaging system based on a laser source can detect fruit qualityeffectively.