Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements

Bowler, A. orcid.org/0000-0003-3209-2774, Ozturk, S., di Bari, V. et al. (2 more authors) (2023) Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements. Food Control, 147. 109622. ISSN 0956-7135

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 Elsevier Ltd. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Yogurt; Fermentation; Ultrasonic sensors; Machine learning; Domain adaptation; Process monitoring
Dates:
  • Published: May 2023
  • Published (online): 10 January 2023
  • Accepted: 9 January 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Colloids and Food Processing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Jul 2024 16:43
Last Modified: 10 Jul 2024 16:43
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.foodcont.2023.109622
Open Archives Initiative ID (OAI ID):

Export

Statistics