A Novel Hyperspectral Method to Detect Moldy Core in Apple Fruits.
ANN binary classification
hyperspectral classification
internal browning
moldy core
near-infrared spectroscopy
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
14 Jun 2022
14 Jun 2022
Historique:
received:
26
04
2022
revised:
28
05
2022
accepted:
10
06
2022
entrez:
24
6
2022
pubmed:
25
6
2022
medline:
28
6
2022
Statut:
epublish
Résumé
An innovative low-cost device based on hyperspectral spectroscopy in the near infrared (NIR) spectral region is proposed for the non-invasive detection of moldy core (MC) in apples. The system, based on light collection by an integrating sphere, was tested on 70 apples cultivar (cv) Golden Delicious infected by
Identifiants
pubmed: 35746261
pii: s22124479
doi: 10.3390/s22124479
pmc: PMC9230990
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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