Real-Time Moisture Ratio Study of Drying Date Fruit Chips Based on On-Line Image Attributes Using kNN and Random Forest Regression Methods
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Title
Real-Time Moisture Ratio Study of Drying Date Fruit Chips Based on On-Line Image Attributes Using kNN and Random Forest Regression Methods
Authors
Keywords
Drying, Electro-hydrodynamic, Moisture ratio, Machine vision, Random forest, Regression model
Journal
MEASUREMENT
Volume -, Issue -, Pages 108899
Publisher
Elsevier BV
Online
2020-12-31
DOI
10.1016/j.measurement.2020.108899
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