This review finds that combining electronic noses and deep learning enhances aroma detection in wine, suggesting improved quality assessment methods.
Inspired by biological olfaction, the electronic nose is a modern detection instrument that mimics the structure and function of the olfactory system. It has been successfully applied in various fields, including industry and food testing. Wine is a globally beloved alcoholic beverage, and the technology used for wine quality detection plays a crucial role in ensuring the healthy development of related industries. The use of electronic noses in wine detection offers potential advantages such as rapid analysis and portability. This paper provides a comprehensive review of research on wine aroma detection using electronic noses, explores deep learning methods for processing e-nose data, and discusses the application and future prospects of combining electronic noses with deep learning in the wine industry.
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Jiayu Huang (2025) studied this question.
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