农机化研究Issue(4)：222-225,263,5.
基于高光谱技术的牛肉含水率无损检测
Nondestructive Determination of Water Content in Beef Using the Hyperspectral Image Detection
摘要
Abstract
The moisture content of beef not only can directly affect the beef quality , but also brings great economic dam-age to the consumers , therefore this experiment provides the basis for beef quality detection by exploring the feasibility of detecting beef moisture content through hyperspectral image technology .82 samples of cows ’ back-legs are adopted as experiment materials to measure their real moisture and to collect their hyperspectral images by way of international drying method according to the specification of 5 ×4 ×1 cm.After getting the hyperspectral information of the samples , with the help of ENVI and MATLAB software , interesting areas are gained .By different pretreatment methods , artificial neural network and PLS calibration model are separately built .Though comparison of the results of these two models , PLSR cali-bration model can better predict the beef moisture content .The correlation coefficient of correction is 0 .91 the RMSEC is 0.121 the correlation coefficient of prediction set is 0.89and the RMSEP is 0.118.The results show that beef moisture content can be quickly and intact detected through hyperspectral image technology .关键词
牛肉/含水率/高光谱图像/偏最小二乘Key words
beef/moisture content/hyperspectral image/PLSR分类
农业科技引用本文复制引用
柴玉华,迟强,苏中滨,王云鹤..基于高光谱技术的牛肉含水率无损检测[J].农机化研究,2016,(4):222-225,263,5.基金项目
黑龙江省自然科学基金重点项目 （）
