Could Collected Chemical Parameters Be Utilized to Build Soft Sensors Capable of Predicting the Provenance, Vintages, and Price Points of New Zealand Pinot Noir Wines Simultaneously?

Soft sensors work as predictive frameworks encapsulating a set of easy-to-collect input data and a machine learning method (ML) to predict highly related variables that are difficult to measure. The machine learning method could provide a prediction of complex unknown relations between the input dat...

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Detalles Bibliográficos
Autores principales: An, Jingxian, Deed, Rebecca C., Kilmartin, Paul A., Yu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857561/
https://www.ncbi.nlm.nih.gov/pubmed/36673415
http://dx.doi.org/10.3390/foods12020323

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857561/
https://www.ncbi.nlm.nih.gov/pubmed/36673415
http://dx.doi.org/10.3390/foods12020323

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