Abstract
It is evident that colour analysis of food is critical in the sale of pre-cooked foods. Through the use of spectroscopy, in the region of the visible and near infra-red spectrum, it is possible to examine the different colours of food products and then analyse them. Combining this with Artificial Neural Networks, a pattern recognition system is generated to classify between colours that are favourable and those that are not optimum, in an effort to control the cooking process and increase end profits.
| Original language | English |
|---|---|
| Pages | 957-962 |
| Number of pages | 6 |
| Publication status | Published - 2002 |
| Event | Proceedings of the Artificial Neutral Networks in Engineering Conference:Smart Engineering System Design - St. Louis, MO, United States Duration: 10 Nov 2002 → 13 Nov 2002 |
Conference
| Conference | Proceedings of the Artificial Neutral Networks in Engineering Conference:Smart Engineering System Design |
|---|---|
| Country/Territory | United States |
| City | St. Louis, MO |
| Period | 10/11/02 → 13/11/02 |