Visual/Near-Infrared Spectroscopy Combined with Linear Discriminant Analysis and Machine Learning for Classification of Apple Damage

Visual/Near-Infrared Spectroscopy Combined with Linear Discriminant Analysis and Machine Learning for Classification of Apple Damage

This study investigated the combined application of visible/near-infrared (Vis-NIR) spectroscopy with linear discriminant analysis (LDA) and machine learning (ML) for the classification of apples with different degrees of damage. The Vis-NIR spectral data of apples with different degrees of damage w...

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Bibliographic Details
Main Author: ZHANG Yu, ZHANG Chongyang, DUAN Xinxin, MA Shaoge, ZHAO Fu, WANG Juxia
Format: Article
Language:English
Published: China Food Publishing Company 2024-11-01
Series:Shipin Kexue
Subjects:
apple; visible/near-infrared spectroscopy; machine learning; linear discriminant analysis; damage classification
Online Access:https://www.spkx.net.cn/fileup/1002-6630/PDF/2024-45-22-029.pdf
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