Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning

Vis/NIR Spectroscopy and Vis/NIR Hyperspectral Imaging for Non-Destructive Monitoring of Apricot Fruit Internal Quality with Machine Learning

The fruit supply chain requires simple, non-destructive, and fast tools for quality evaluation both in the field and during the post-harvest phase. In this study, a portable visible and near-infrared (Vis/NIR) spectrophotometer and a portable Vis/NIR hyperspectral imaging (HSI) device were tested to...

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Bibliographic Details
Main Authors: Tiziana Amoriello, Roberto Ciorba, Gaia Ruggiero, Francesca Masciola, Daniela Scutaru, Roberto Ciccoritti
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Foods
Subjects:
total soluble solids
titratable acidity
dry matter
Vis/NIR hyperspectral imaging
Vis/NIR spectrophotometer
artificial neural networks
Online Access:https://www.mdpi.com/2304-8158/14/2/196
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