Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network

Nondestructive Estimation of the Chlorophyll b of Apple Fruit by Color and Spectral Features Using Different Methods of Hybrid Artificial Neural Network

Nondestructive estimation of the various physicochemical features of food such as fruits and vegetables will create a dramatic development in the food industry. The reason for this development is that the estimation is non-destructive, online, and most importantly fast. Regarding the advantages, var...

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Bibliographic Details
Main Authors: Yousef Abbaspour-Gilandeh, Sajad Sabzi, Mario Hernández-Hernández, Jose Luis Hernández-Hernández, Farzad Azadshahraki
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Agronomy
Subjects:
non-destructive
color features
spectral data
effective spectra
visible light/near-infrared
hybrid artificial neural network.
Online Access:https://www.mdpi.com/2073-4395/9/11/735

Internet

https://www.mdpi.com/2073-4395/9/11/735

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