Research Progress of Non-destructive Testing of Fruit Quality by Hyperspectral Imaging Technology

Research Progress of Non-destructive Testing of Fruit Quality by Hyperspectral Imaging Technology

The production and sales of high-quality fruits are inseparable from fruit quality testing, while traditional fruit quality testing methods have low precision, high cost, poor timeliness, and strong destructiveness. With the continuous advancement of science and technology in recent years, low-cost...

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Bibliographic Details
Main Authors: Longyue CHEN, Dandan DUAN, Fan WANG, Xiangyu MENG, Chong ZHAO, Yingjun QIAN
Format: Article
Language:English
Published: Guangdong Academy of Agricultural Sciences 2023-07-01
Series:Guangdong nongye kexue
Subjects:
hyperspectral imaging
fruit quality
non-destructive testing
machine learning
feature extraction
model training
Online Access:http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202307009

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http://gdnykx.cnjournals.org/gdnykx/ch/reader/view_abstract.aspx?file_no=202307009

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