Apple Watercore Grade Classification Method Based on ConvNeXt and Visible/Near-Infrared Spectroscopy

To address the issues of insufficient rigor in existing methods for quantifying apple watercore severity and the complexity and low accuracy of traditional classification models, this study proposes a method for watercore quantification and a classification model based on a deep convolutional neural...

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Bibliographic Details

Published in:	Agriculture
Main Authors:	Chunlin Zhao, Zhipeng Yin, Yushuo Tan, Wenbin Zhang, Panpan Guo, Yaxing Ma, Haijian Wu, Ding Hu, Quan Lu
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Subjects:	watercore apples visible/near-infrared spectroscopy deep convolutional neural networks image recognition Gramian angular field
Online Access:	https://www.mdpi.com/2077-0472/15/7/756