Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most Effective Wavelengths Using Hybrid Artificial Neural Network—Imperialist Competitive Algorithm

Non-Destructive Estimation of Total Chlorophyll Content of Apple Fruit Based on Color Feature, Spectral Data and the Most Effective Wavelengths Using Hybrid Artificial Neural Network—Imperialist Competitive Algorithm

Non-destructive assessment of the physicochemical properties of food products, especially fruits, makes it possible to examine the internal quality without any damage. This is applicable at different stages of fruit growth, harvesting stage, and storage as well as at the market stage. In this regard...

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Bibliographic Details
Main Authors: Razieh Pourdarbani, Sajad Sabzi, Mario Hernández-Hernández, José Luis Hernández-Hernández, Iván Gallardo-Bernal, Israel Herrera-Miranda
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Plants
Subjects:
non-destructive estimation
apples
spectroscopy
ANN
ICA algorithm
PSO algorithm
Online Access:https://www.mdpi.com/2223-7747/9/11/1547

Internet

https://www.mdpi.com/2223-7747/9/11/1547

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