Applications of visible and near-infrared hyperspectral imaging for non-destructive detection of the agricultural products

被引:0
|
作者
Jiang, Yinglan [1 ]
Zhang, Ruoyu [1 ]
Yu, Jie [1 ]
Hu, Wanchao [1 ]
Yin, Zhangtao [1 ]
机构
[1] Shihezi Univ, Coll Mech & Elect Engn, Shihezi 832003, Peoples R China
关键词
Hyperspectral imaging; Imaging; Spectroscopy; Fruits; Vegetable; Meat; Detection; QUALITY; APPLES;
D O I
10.4028/www.scientific.net/AMR.317-319.909
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Agricultural products quality which included intrinsic attribute and extrinsic characteristic, closely related to the health of consumer and the exported cost. Now, imaging (machine vision) and spectrum are two main nondestructive inspection technologies to be applied. Hyperspectral imaging, a new emerging technology developed for detecting quality of the food and agricultural products in recent years, combined techniques of conventional imaging and spectroscopy to obtain both spatial and spectral information from an objective simultaneously. This paper compared the advantage and disadvantage of imaging, spectrum and hyperspectral imaging technique, and provided a description to basic principle, feature of hyperspectral imaging system and calibration of hyperspectral reflectance images. In addition, the recent advances for the application of hyperspectral imaging to agricultural products quality inspection were reviewed in other countries and China.
引用
收藏
页码:909 / 914
页数:6
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