Prediction of Key Quality Parameters in Hot Air-Dried Jujubes Based on Hyperspectral Imaging

Prediction of Key Quality Parameters in Hot Air-Dried Jujubes Based on Hyperspectral Imaging

Traditional biochemical analysis methods are not only resource-intensive and time-consuming, but are increasingly inadequate for meeting the demands of modern production and quality testing. In recent years, hyperspectral imaging (HSI) technology has been widely applied as a non-destructive detectio...

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Bibliographic Details
Main Authors: Quancheng Liu, Chunzhan Yu, Yuxuan Ma, Hongwei Zhang, Lei Yan, Shuxiang Fan
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Foods
Subjects:
dried jujubes
hyperspectral imaging
machine learning
deep learning
quality parameters
Online Access:https://www.mdpi.com/2304-8158/14/11/1855
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