Detection of Apple Sucrose Concentration Based on Fluorescence Hyperspectral Image System and Machine Learning

Detection of Apple Sucrose Concentration Based on Fluorescence Hyperspectral Image System and Machine Learning

China ranks first in apple production worldwide, making the assessment of apple quality a critical factor in agriculture. Sucrose concentration (SC) is a key factor influencing the flavor and ripeness of apples, serving as an important quality indicator. Nondestructive SC detection has significant p...

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Bibliographic Details
Main Authors: Chunyi Zhan, Hongyi Mao, Rongsheng Fan, Tanggui He, Rui Qing, Wenliang Zhang, Yi Lin, Kunyu Li, Lei Wang, Tie’en Xia, Youli Wu, Zhiliang Kang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Foods
Subjects:
apple
sucrose concentration
fluorescence hyperspectral imaging system
machine learning
Online Access:https://www.mdpi.com/2304-8158/13/22/3547
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