Early bruise detection on pomegranate (Punica granatum L.), using hyperspectral imaging coupled with artificial neutral network algorithm

Fruit quality might suffer from bruising before and after harvest. Global focus is being paid to fruit bruise detection, especially early damage detection. In this study, a method was developed to identify bruised pomegranate fruit (cv. 'Wonderful') immediately after bruising. After splitting 60 pom...

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Opis bibliograficzny

Główni autorzy:	Emmanuel Ekene Okere, Alemayehu Ambaw, Willem Jacobus Perold, Umezuruike Linus Opara
Format:	Artigo
Język:	Inglês
Wydane:	Maximum Academic Press 2023-01-01
Seria:	Technology in Horticulture
Hasła przedmiotowe:	nondestructive techniques machine learning fruit internal quality defect identification classification accuracy horticultural produce
Dostęp online:	https://www.maxapress.com/article/doi/10.48130/TIH-2023-0027
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