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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Tiziana Amoriello, Roberto Ciorba, Gaia Ruggiero, Francesca Masciola, Daniela Scutaru, Roberto Ciccoritti
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2025-01-01
Sarja:	Foods
Aiheet:	total soluble solids titratable acidity dry matter Vis/NIR hyperspectral imaging Vis/NIR spectrophotometer artificial neural networks
Linkit:	https://www.mdpi.com/2304-8158/14/2/196
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