A nondestructive detection method of multi-quality parameters of beef by visible/near-infrared spectroscopy

2015 ◽  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Quality Parameters ◽  
Nondestructive Detection

Fast Non-Destructive Detection of Wool Content in Blended Fabrics Based on Near-Infrared Spectroscopy Technology

2015 ◽  
Vol 671 ◽  
pp. 356-362 ◽  
Author(s):  
Zhi Feng Chen ◽  
Yuan Quan Hong ◽  
Chang Jiang Wan ◽  
Lian Ying Zhao
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Quantitative Model ◽  
National Standard ◽  
Fast Detection ◽  
Significant Difference ◽  
Validation Set ◽  
Non Destructive

A fast non-destructive method of detection of wool content in blended fabrics was studied based on Near Infrared spectroscopy technology in order to avoid the time-consuming, tedious work and the destruction of samples in the traditional inspection. 621 wool/nylon, wool/polyester and wool/nylon/polyester blended fabrics were taken as research objects. To get the wool content, we established the wool near-infrared quantitative model by partial least squares (PLS) method after analyzing the color and composition of the samples. For verifying the validity and practicability of the model, 100 samples were chosen as an independent validation set. The variance analysis shows that there is no significant difference between Near Infrared fast detection method and national standard method (GB/T2910-2009),which indicates that this method is expected to be a means of fast non-destructive detection and will have extensive application future in the field of wool content detection.

scholarly journals Determination of soybean routine quality parameters using near-infrared spectroscopy

2018 ◽  
Vol 6 (4) ◽  
pp. 1109-1118 ◽  
Author(s):  
Zhenying Zhu ◽  
Shangbing Chen ◽  
Xueyou Wu ◽  
Changrui Xing ◽  
Jian Yuan
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Parameters

A data fusion detection method for fish freshness based on computer vision and near-infrared spectroscopy

2016 ◽  
Vol 8 (14) ◽  
pp. 2929-2935 ◽  
Author(s):  
Xingyi Huang ◽  
Haixia Xu ◽  
Lei Wu ◽  
Huang Dai ◽  
Liya Yao ◽  
...  
Keyword(s):  
Computer Vision ◽  
Infrared Spectroscopy ◽  
Data Fusion ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Detection Method ◽  
Spectroscopic Techniques ◽  
Fusion Detection

This article proposes and describes a data fusion detection method based on computer vision and spectroscopic techniques for fish freshness classification.

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