Real-Time Moisture Ratio Study of Drying Date Fruit Chips Based on On-Line Image Attributes Using kNN and Random Forest Regression Methods
出版年份 2020 全文链接
标题
Real-Time Moisture Ratio Study of Drying Date Fruit Chips Based on On-Line Image Attributes Using kNN and Random Forest Regression Methods
作者
关键词
Drying, Electro-hydrodynamic, Moisture ratio, Machine vision, Random forest, Regression model
出版物
MEASUREMENT
Volume -, Issue -, Pages 108899
出版商
Elsevier BV
发表日期
2020-12-31
DOI
10.1016/j.measurement.2020.108899
参考文献
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