【作者】 吴文强； 蔡丽英； 刘木华； 林金龙； 刘仲寿； 范苑；

【Author】 Wenqiang Wu,Liying Cai,Muhua Liu,Zhongshou Liu,JinLong Lin,Yuan Fan Optics-Electrics Application of Biomaterials Lab,Jiangxi Agricultural University Nanchang,330045,China

【机构】 江西农业大学生物光电及运用实验室；

【摘要】 糖度是水果质量分级的一个重要参数,消费者购买水果的欲望很大程度上取决于水果的糖度。近年来随着光谱技术的发展,多光谱成像技术成为一种应用广泛的农产品无损检测技术。我们利用多光谱成像技术研发一套黔阳冰糖橙糖度在线分级系统。该系统主要包括图像采集单元、水果输送单元、程序控制分级单元。分级系统以每秒采集3个水果的光谱图像的速度采集3种不同波长(波长分别为785nm、915nm和940nm)的光谱图像。对所采集的光谱图像进行了洛伦兹函数拟合,将冰糖橙的糖度与洛伦兹函数拟合得到的参数进行多元线性回归,建立糖度预测模型,得到较好的糖度预测模型相关系数r=0.85。结果表明:将多光谱图像技术应用于冰糖橙内部品质在线无损检测分级是可行的,将会对冰糖橙的发展前景起到很好的推动作用,并且也为今后对其它水果进行糖度的在线无损检测奠定了基础。更多还原

【Abstract】 Sugar content is an important parameter in determining the maturity and quality grade of citrus,and directly influences consumer acceptance and satisfaction.Multispectral imaging is a viable non-destructive technique for detecting the sugar content of fruit.We develop an online non-destructive installation based on multispectral imaging technology.Spectral scattering images were obtained from QianYang citrus at three selected wavelengths(785nm、915nm、940nm)using multispectral on-line sorting system at a speed up to three citrus per second.The functions of Lorentzian distribution(LD)with three parameter was used to fit scattering profiles for three wavelengths.Sugar content prediction model was developed using multi-liner regression against the three Lorentzian parameters.The model with respect to three wavelengths was able to predict citrus sugar content with the correlation coefficient of 0.85.The result showed it is easy and fast to apply.And is a portable way to use multispectral imaging system for on-line sorting and grading of QianYang citrus.更多还原