ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness

ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness

Abstract The freshness of vegetable soybean (VS) is an important indicator for quality evaluation. Currently, deep learning-based image recognition technology provides a fast, efficient, and low-cost method for analyzing the freshness of food. The RGB (red, green, and blue) image recognition technol...

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Bibliographic Details
Main Authors: Yuanpeng Bu, Jinxuan Hu, Cheng Chen, Songhang Bai, Zuohui Chen, Tianyu Hu, Guwen Zhang, Na Liu, Chang Cai, Yuhao Li, Qi Xuan, Ye Wang, Zhongjing Su, Yun Xiang, Yaming Gong
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-51668-6

Internet

https://doi.org/10.1038/s41598-024-51668-6

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