Embedding AI-Enabled Data Infrastructures for Sustainability in Agri-Food: Soft-Fruit and Brewery Use Case Perspectives

Markovic, M. orcid.org/0000-0002-5477-287X, Li, A. orcid.org/0009-0004-1103-8300, Ayall, T.A. orcid.org/0000-0001-9413-6459 et al. (8 more authors) (Cover date: November-2 2024) Embedding AI-Enabled Data Infrastructures for Sustainability in Agri-Food: Soft-Fruit and Brewery Use Case Perspectives. Sensors, 24 (22). 7327. ISSN 1424-8220

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Item Type: Article
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: artificial intelligence; Internet of Things; net zero; agri-food
Dates:
  • Published: 16 November 2024
  • Published (online): 16 November 2024
  • Accepted: 14 November 2024
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)
Funding Information:
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Grant number
EPSRC (Engineering and Physical Sciences Research Council)
EP/V041371/2
Depositing User: Symplectic Publications
Date Deposited: 26 Nov 2024 15:55
Last Modified: 26 Nov 2024 15:55
Status: Published
Publisher: MDPI
Identification Number: 10.3390/s24227327
Open Archives Initiative ID (OAI ID):

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