The use of hyperspectral imaging for cake moisture prediction

Polak, A. and Coutts, F. and Murray, P. and Stothard, D. J. M. and Marshall, S. (2017) The use of hyperspectral imaging for cake moisture prediction. In: CDT Applied Photonics Annual Conference, 2017-06-23 - 2017-06-23, Heriot-Watt University.

[img]
Preview
Text (Polak-etal-2017-The-use-of-hyperspectral-imaging-for-cake-moisture-prediction)
Polak_etal_2017_The_use_of_hyperspectral_imaging_for_cake_moisture_prediction.pdf
Accepted Author Manuscript

Download (127kB)| Preview

    Abstract

    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.