Reduction of the Number of Samples for Cost-Effective Hyperspectral Grape Quality Predictive Models

Developing chemometric models from near-infrared (NIR) spectra requires the use of a representative calibration set of the entire population. Therefore, generally, the calibration procedure requires a large number of resources. For that reason, there is a great interest in identifying the most spect...

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Detalles Bibliográficos
Autores principales: Nogales-Bueno, Julio, Rodríguez-Pulido, Francisco José, Baca-Bocanegra, Berta, Pérez-Marin, Dolores, Heredia, Francisco José, Garrido-Varo, Ana, Hernández-Hierro, José Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912666/
https://www.ncbi.nlm.nih.gov/pubmed/33498776
http://dx.doi.org/10.3390/foods10020233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912666/
https://www.ncbi.nlm.nih.gov/pubmed/33498776
http://dx.doi.org/10.3390/foods10020233

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