Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy

Using metaheuristic algorithms to improve the estimation of acidity in Fuji apples using NIR spectroscopy

This study focuses on the spectrochemical estimation of pH and titratable acidity (TA) of apples of Fuji variety at different stages of ripening. A novel approach is proposed for near-infrared (NIR) spectral analysis using hybrid machine learning methods that combine artificial neural networks (ANN)...

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Bibliographic Details
Main Authors: Razieh Pourdarbani, Sajad Sabzi, Mohammad H. Rohban, Ginés García-Mateos, Jitendra Paliwal, José Miguel Molina-Martínez
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Ain Shams Engineering Journal
Subjects:
Near-infrared
Spectroscopy
Hybrid ANN
Non-destructive estimation
Titratable acidity
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447922000879

Internet

http://www.sciencedirect.com/science/article/pii/S2090447922000879

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