Intelligent Sensors for Sustainable Food and Drink Manufacturing

Watson, N.J. orcid.org/0000-0001-5216-4873, Bowler, A.L. orcid.org/0000-0003-3209-2774, Rady, A. et al. (5 more authors) (2021) Intelligent Sensors for Sustainable Food and Drink Manufacturing. Frontiers in Sustainable Food Systems, 5. 642786. ISSN 2571-581X

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Item Type: Article
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© 2021 Watson, Bowler, Rady, Fisher, Simeone, Escrig, Woolley and Adedeji. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords: digital manufacturing, sensors, machine learning, food and drink manufacturing, intelligent manufacturing, industry 4.0, industrial digital technologies
Dates:
  • Published: 5 November 2021
  • Published (online): 5 November 2021
  • Accepted: 1 October 2021
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: 12 Jul 2024 09:14
Last Modified: 12 Jul 2024 09:14
Status: Published
Publisher: Frontiers
Identification Number: 10.3389/fsufs.2021.642786
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 9: Industry, Innovation, and Infrastructure
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