The use of hyperspectral imaging for cake moisture prediction

A. Polak, F. Coutts, P. Murray, D. J. M. Stothard, S. Marshall

Research output: Contribution to conferenceAbstract

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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.
Original languageEnglish
Number of pages1
Publication statusPublished - 23 Jun 2017
EventCDT Applied Photonics Annual Conference - Heriot-Watt University, Edinburgh, United Kingdom
Duration: 23 Jun 201723 Jun 2017


ConferenceCDT Applied Photonics Annual Conference
CountryUnited Kingdom



  • hyperspectral imaging
  • non-destructive tesing
  • cake moisture

Cite this

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.