Investigating a Selection of Methods for the Prediction of Total Soluble Solids Among Wine Grape Quality Characteristics Using Normalized Difference Vegetation Index Data From Proximal and Remote Sensing

The most common method for determining wine grape quality characteristics is to perform sample-based laboratory analysis, which can be time-consuming and expensive. In this article, we investigate an alternative approach to predict wine grape quality characteristics by combining machine learning tec...

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Detalles Bibliográficos
Autores principales: Kasimati, Aikaterini, Espejo-Garcia, Borja, Vali, Eleanna, Malounas, Ioannis, Fountas, Spyros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226266/
https://www.ncbi.nlm.nih.gov/pubmed/34178002
http://dx.doi.org/10.3389/fpls.2021.683078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8226266/
https://www.ncbi.nlm.nih.gov/pubmed/34178002
http://dx.doi.org/10.3389/fpls.2021.683078

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