Predicting Grape Sugar Content under Quality Attributes Using Normalized Difference Vegetation Index Data and Automated Machine Learning

Wine grapes need frequent monitoring to achieve high yields and quality. Non-destructive methods, such as proximal and remote sensing, are commonly used to estimate crop yield and quality characteristics, and spectral vegetation indices (VIs) are often used to present site-specific information. Anal...

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Detalles Bibliográficos
Autores principales: Kasimati, Aikaterini, Espejo-García, Borja, Darra, Nicoleta, Fountas, Spyros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102316/
https://www.ncbi.nlm.nih.gov/pubmed/35590939
http://dx.doi.org/10.3390/s22093249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102316/
https://www.ncbi.nlm.nih.gov/pubmed/35590939
http://dx.doi.org/10.3390/s22093249

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