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

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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Bibliographic Details
Main Authors: Teodora Basile, Antonio Domenico Marsico, Rocco Perniola
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Foods
Subjects:
PCA
ANN
PLS
MC-UVE
β coefficients
R statistics
Online Access:https://www.mdpi.com/2304-8158/11/3/281

Internet

https://www.mdpi.com/2304-8158/11/3/281

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