Use of Artificial Neural Networks and NIR Spectroscopy for Non-Destructive Grape Texture Prediction

In this article, a combination of non-destructive NIR spectroscopy and machine learning techniques was applied to predict the texture parameters and the total soluble solids content (TSS) in intact berries. The multivariate models obtained by building artificial neural networks (ANNs) and applying p...

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Detalles Bibliográficos
Autores principales: Basile, Teodora, Marsico, Antonio Domenico, Perniola, Rocco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834220/
https://www.ncbi.nlm.nih.gov/pubmed/35159433
http://dx.doi.org/10.3390/foods11030281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834220/
https://www.ncbi.nlm.nih.gov/pubmed/35159433
http://dx.doi.org/10.3390/foods11030281

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