Name
Abstract | ||
|---|---|---|
The determination of the quality of some foods with traditional techniques is considered as deceptive and costly. For this reason, more objective and fair methods are preferred for the measurement of food quality. In food industry it is very common to use image processing methods that uses the color, size etc. of foods to measure the quality and to classify them. In this study, it is aimed to measure the quality of food products (vegetables and fruits) with computerized systems as easily and objectively by a near infrared spectroscopy. |
Year | Venue | Keywords |
|---|---|---|
2017 | Signal Processing and Communications Applications Conference | near infrared,spectroscopy,food quality,image processing |
Field | DocType | ISSN |
Computer vision,Food industry,Food quality,Quality measurement,Computer science,Near-infrared spectroscopy,Image processing,Food products,Artificial intelligence | Conference | 2165-0608 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Didem Turker | 1 | 33 | 5.14 |
| Recep Sezer | 2 | 0 | 0.34 |
| Sahin Isik | 3 | 4 | 3.42 |
| Kemal Özkan | 4 | 11 | 4.28 |