Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms

Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms

Accurate classification of jujube varieties is essential for ensuring their quality and medicinal value. Traditional methods, relying on manual detection, are inefficient and fail to meet the demands of modern production and quality control. This study integrates hyperspectral imaging with intellige...

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Bibliographic Details
Main Authors: Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Foods
Subjects:
dried jujubes
hyperspectral imaging
machine learning
intelligent optimization algorithms
variety classification
GWO
Online Access:https://www.mdpi.com/2304-8158/14/14/2527
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