In this paper, hyperspectral imaging is demonstrated to be a valid method for predicting the moisture content of baked sponge cakes. The application of this technology in the cake production environment, empowered by sophisticated signal & image processing techniques and prediction algorithms has the potential to provide on-line, real-time, non-destructive cake moisture monitoring.
|Number of pages||1|
|Publication status||Published - 23 Jun 2017|
|Event||CDT Applied Photonics Annual Conference - Heriot-Watt University, Edinburgh, United Kingdom|
Duration: 23 Jun 2017 → 23 Jun 2017
|Conference||CDT Applied Photonics Annual Conference|
|Period||23/06/17 → 23/06/17|
- hyperspectral imaging
- non-destructive tesing
- cake moisture
Polak, A., Coutts, F., Murray, P., Stothard, D. J. M., & Marshall, S. (2017). The use of hyperspectral imaging for cake moisture prediction. Abstract from CDT Applied Photonics Annual Conference, Edinburgh, United Kingdom.