A machine learning method for juice human sensory hedonic prediction using electronic sensory features

This study proposed a method that combines fused electronic sensory analysis technology with artificial neural network to predict the human sensory hedonic of fruit juice. Quantitative descriptive analysis (QDA) and the scoring test method were utilized for human sensory evaluation. The first step i...

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Detalles Bibliográficos
Autores principales: Yang, Huihui, Wang, Yutang, Zhao, Jinyong, Li, Ping, Li, Long, Wang, Fengzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485034/
https://www.ncbi.nlm.nih.gov/pubmed/37691694
http://dx.doi.org/10.1016/j.crfs.2023.100576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485034/
https://www.ncbi.nlm.nih.gov/pubmed/37691694
http://dx.doi.org/10.1016/j.crfs.2023.100576

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