ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

A beef quality on-line detection and classification models by Vis/NIR reflectance spectroscopy was established. The system parameters were optimized. Signal collection and spectroscopy preprocess were carried out by Vis/NIR reflectance spectroscopy and a handheld probe device. The scanning times were set on condition that system kept proper detection accuracy and stability, which was 10 times in wavelength range of 400~700nm and 30 times in wavelength range of 700~2000nm, and acquisition time of 900ms. Spectra leverage value of beef was calculated to eliminate abnormal samples, and then different data processing methods were used to establish beef quality PLSR models which finally showed the optimal result of beef quality prediction. The results indicated that the PLSR model with SNV processing had better performance, with the correlation coefficient of 0.9068 and root mean square error of 7.1963N for validation set of beef tenderness, 0.8854 and 2.3628 for L*, 0.8362 and 2.2969 for a*, 0.8453 and 2.1054% for validation set of beef cooking loss, respectively. The correlation coefficient was above 0.8 and the tenderness classification accuracy reached to 93.5%.