Predicting of the Quality Attributes of Orange Fruit Using Hyperspectral Images

Predicting of the Quality Attributes of Orange Fruit Using Hyperspectral Images

Background: Hyperspectral image analysis is a fast and non-destructive technique that is being used to measure quality attributes of food products. This research investigated the feasibility of predicting internal quality attributes, such as Total Soluble Solids (TSS), pH, Titratable Acidity (TA), a...

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Bibliographic Details
Main Authors: V. Aredo, L. Velásquez, J. Carranza-Cabrera, R. Siche
Format: Article
Language:English
Published: Shahid Sadoughi University of Medical Sciences 2019-09-01
Series:Journal of Food Quality and Hazards Control
Subjects:
Spectrum Analysis
Citrus
Quality Control
Food Technology
Online Access:http://jfqhc.ssu.ac.ir/article-1-575-en.html

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