Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks

Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks

In the pursuit of enhancing the wine production process through the utilization of new technologies in viticulture, this study presents a novel approach for the rapid assessment of wine grape maturity levels using non-destructive, in situ infrared spectroscopy and artificial intelligence techniques....

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Bibliographic Details
Main Authors: Eleni Kalopesa, Theodoros Gkrimpizis, Nikiforos Samarinas, Nikolaos L. Tsakiridis, George C. Zalidis
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
TSS
vis–NIR
NIR spectroscopy
cultivar
vineyard
deep learning
Online Access:https://www.mdpi.com/1424-8220/23/23/9536

Internet

https://www.mdpi.com/1424-8220/23/23/9536

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