Real-time moisture ratio study of drying date fruit chips based on on-line image attributes using kNN and random forest regression methods-Reference-Cited by-同舟云学术

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Real-time moisture ratio study of drying date fruit chips based on on-line image attributes using kNN and random forest regression methods

Published:2021-02 Issue: Volume:172 Page:108899
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Keramat-Jahromi Mahdi,Mohtasebi Seyed Saeid,Mousazadeh Hossein,Ghasemi-Varnamkhasti Mahdi,Rahimi-Movassagh Maryam

Funder

Iran National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference45 articles.

1. Computer vision technology for real-time food quality assurance during drying process;Aghbashlo;Trends Food Sci. Technol.,2014

2. Real-time color change monitoring of apple slices using image processing during intermittent microwave convective drying;Aghilinategh;Food Sci. Technol. Int.,2016

3. Effects of hot-air and hybrid hot air-microwave drying on drying kinetics and textural quality of nectarine slices;Ashtiani;Heat Mass Transf.,2017

4. Time and speed of fruit drying on batch fluid-beds;Bauman;Sadhana,2005

5. Computer vision for automatic quality inspection of dried figs (Ficus carica L.) in real-time;Benalia;Comput. Electron. Agric.,2016

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