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A review of deep learning models for food flavor data analysis

Jiawen Yuan Qihan Wu Jie Zhou Shuai Yu Xing Xin Jin Liu Xiaohui Cui

Journal of Future Foods2026，Vol.6Issue(4)：P.533-544,12.

Journal of Future Foods2026，Vol.6Issue(4)：P.533-544,12.DOI:10.1016/j.jfutfo.2025.01.001

A review of deep learning models for food flavor data analysis

Jiawen Yuan ¹Qihan Wu ¹Jie Zhou ¹Shuai Yu ²Xing Xin ³Jin Liu ⁴Xiaohui Cui⁵

作者信息

1. Science Center for Future Foods,Jiangnan University,Wuxi 214122,China School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,China
2. Department of Chemical and Materials Engineering,University of Auckland,Auckland 1010,New Zealand
3. Science Center for Future Foods,Jiangnan University,Wuxi 214122,China School of Food and Advanced Technology,Massey University,Palmerston North 4474,New Zealand
4. School of Computer Science,Wuhan University,Wuhan 430072,China
5. Science Center for Future Foods,Jiangnan University,Wuxi 214122,China
折叠

摘要

关键词

Multimodal deep learning/flavor perception/Convolutional neural network/recurrent neural network

分类

轻工纺织

引用本文复制引用

Jiawen Yuan,Qihan Wu,Jie Zhou,Shuai Yu,Xing Xin,Jin Liu,Xiaohui Cui..A review of deep learning models for food flavor data analysis[J].Journal of Future Foods,2026,6(4):P.533-544,12.

基金项目

supported by the Jiangsu Specially-Appointed Professor Program(5966010241250010) （5966010241250010）

the fundamental research funds for the Central Universities(JUSRP124032). （JUSRP124032）

Journal of Future Foods

ISSN：2772-5669

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