Principles and Applications of Hyperspectral Imaging Technique in Quality and Safety Inspection of Fruits and Vegetables
ZHANG Bao-hua1,2, LI Jiang-bo2, FAN Shu-xiang2, HUANG Wen-qian2*, ZHANG Chi2, WANG Qing-yan2, XIAO Guang-dong2
1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiaotong University, Shanghai 200240, China 2. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
Abstract：The quality and safety of fruits and vegetables are the most concerns of consumers. Chemical analytical methods are traditional inspection methods which are time-consuming and labor intensive destructive inspection techniques. With the rapid development of imaging technique and spectral technique, hyperspectral imaging technique has been widely used in the nondestructive inspection of quality and safety of fruits and vegetables. Hyperspectral imaging integrates the advantages of traditional imaging and spectroscopy. It can obtain both spatial and spectral information of inspected objects. Therefore, it can be used in either external quality inspection as traditional imaging system, or internal quality or safety inspection as spectroscopy. In recent years, many research papers about the nondestructive inspection of quality and safety of fruits and vegetables by using hyperspectral imaging have been published, and in order to introduce the principles of nondestructive inspection and track the latest research development of hyperspectral imaging in the nondestructive inspection of quality and safety of fruits and vegetables, this paper reviews the principles, developments and applications of hyperspectral imaging in the external quality, internal quality and safety inspection of fruits and vegetables. Additionally, the basic components, analytical methods, future trends and challenges are also reported or discussed in this paper.
张保华1,2，李江波2，樊书祥2，黄文倩2*，张 驰2，王庆艳2，肖广东2 . 高光谱成像技术在果蔬品质与安全无损检测中的原理及应用 [J]. 光谱学与光谱分析, 2014, 34(10): 2743-2751.
ZHANG Bao-hua1,2, LI Jiang-bo2, FAN Shu-xiang2, HUANG Wen-qian2*, ZHANG Chi2, WANG Qing-yan2, XIAO Guang-dong2. Principles and Applications of Hyperspectral Imaging Technique in Quality and Safety Inspection of Fruits and Vegetables. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34(10): 2743-2751.
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