Name
Abstract | ||
|---|---|---|
Industrial baking of sponge cakes requires various quality indicators to be measured during production such as moisture content and sponge hardness. Existing techniques for measuring these properties require randomly selected sponges to be removed from the production line before samples are manually cut out of each sponge in a destructive way for testing. These samples are subsequently processed m... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-ipr.2018.5106 | IET Image Processing |
Keywords | Field | DocType |
food processing industry,food products,image processing,image sensors,moisture,product quality,quality control | Process engineering,Computer vision,Food industry,Moisture,Development environment,Image processing,Hyperspectral imaging,Prediction algorithms,Production line,Artificial intelligence,Water content,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 7 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Polak | 1 | 0 | 0.34 |
| Fraser K. Coutts | 2 | 8 | 4.31 |
| Paul Murray | 3 | 1 | 0.68 |
| Stephen Marshall | 4 | 35 | 3.22 |