Qfoodscan: Computer Vision and Unsupervised Machine Learning Approach to Quality Monitoring During Drying

Author:

Gamboa Juliana

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference76 articles.

1. Computer vision technology for real-time food quality assurance during drying process;M Aghbashlo;Trends in Food Science & Technology,2014

2. Real-time colour change monitoring of apple slices using image processing during intermittent microwave convective drying;N Aghilinategh;Food Science and Technology International,2016

3. Modelling of microwave drying of fruits. Part II: Effect of osmotic pre-treatment on the microwave dehydration process;J R Arballo;Drying Technology,2012

4. An extensive comparative study of cluster validity indices;O Arbelaitz;Pattern Recognition,2013

5. Online tomato sorting based on shape, maturity, size, and surface defects using machine vision;O O Arjenaki;Turkish Journal of Agriculture and Forestry,2013

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