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

50 Downloads (Pure)

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.
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

Conference

ConferenceCDT Applied Photonics Annual Conference
Country/TerritoryUnited Kingdom
CityEdinburgh
Period23/06/1723/06/17

Keywords

  • hyperspectral imaging
  • non-destructive tesing
  • cake moisture

Fingerprint

Dive into the research topics of 'The use of hyperspectral imaging for cake moisture prediction'. Together they form a unique fingerprint.

Cite this