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.

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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.

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• Item metadata

  Item type:	Conference or Workshop Item(Other)
  ID code:	64382
  Dates:	Date Event 23 June 2017 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Strategic Research Themes > Measurement Science and Enabling Technologies Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	11 Jun 2018 09:34
  Last modified:	09 Apr 2024 06:29
  URI:	https://strathprints.strath.ac.uk/id/eprint/64382