Non-Destructive Detection of Fruit Quality Parameters Using Hyperspectral Imaging, Multiple Regression Analysis and Artificial Intelligence

Non-Destructive Detection of Fruit Quality Parameters Using Hyperspectral Imaging, Multiple Regression Analysis and Artificial Intelligence

Currently, destructive methods are often used to measure the quality parameters of agricultural products. These methods are often complex, time consuming and costly. Recently, studying to find a solution to the disadvantages of destructive methods has become a major challenge for researchers. Non-de...

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Detalhes bibliográficos
Principais autores: Behzad Hasanzadeh, Yousef Abbaspour-Gilandeh, Araz Soltani-Nazarloo, Mario Hernández-Hernández, Iván Gallardo-Bernal, José Luis Hernández-Hernández
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2022-07-01
coleção:Horticulturae
Assuntos:
non-destructive evaluation
hyperspectral
computational intelligence
apple
prediction
Acesso em linha:https://www.mdpi.com/2311-7524/8/7/598

Internet

https://www.mdpi.com/2311-7524/8/7/598

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