Integration of Hyperspectral Imaging and Deep Learning for Discrimination of Fumigated Lilies and Prediction of Quality Indicator Contents

Integration of Hyperspectral Imaging and Deep Learning for Discrimination of Fumigated Lilies and Prediction of Quality Indicator Contents

The lily, valued for its edibility and medicinal properties, is rich in essential nutrients. However, storage conditions and sulfur fumigation during processing can degrade key nutrients like polysaccharides, phenols, and sulfur dioxide. To address this, we applied a deep learning model combined wit...

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Bibliographic Details
Main Authors: Pengfei Zhang, Youyou Wang, Binbin Yan, Xiufu Wang, Zihua Zhang, Sheng Wang, Jian Yang
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Foods
Subjects:
lily
hyperspectral imaging
nutrient content
deep learning
Online Access:https://www.mdpi.com/2304-8158/14/5/825
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