AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance

This study aims to explore the transformative role of Artificial Intelligence (AI) in food manufacturing by optimizing production, reducing waste, and enhancing sustainability. This review follows a literature review approach, synthesizing findings from peer-reviewed studies published between 2019 a...

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Vydané v:Frontiers in nutrition (Lausanne) Ročník 12; s. 1553942
Hlavní autori: Agrawal, Kushagra, Goktas, Polat, Holtkemper, Maike, Beecks, Christian, Kumar, Navneet
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland Frontiers Media S.A 13.03.2025
Predmet:
artificial intelligence
circular economy
food manufacturing
Nutrition
predictive analytics
quality assurance
resource optimization
resource optimization
quality assurance
circular economy
food manufacturing
predictive analytics
waste management
artificial intelligence
ISSN:2296-861X, 2296-861X
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Shrnutí:This study aims to explore the transformative role of Artificial Intelligence (AI) in food manufacturing by optimizing production, reducing waste, and enhancing sustainability. This review follows a literature review approach, synthesizing findings from peer-reviewed studies published between 2019 and 2024. A structured methodology was employed, including database searches and inclusion/exclusion criteria to assess AI applications in food manufacturing. By leveraging predictive analytics, real-time monitoring, and computer vision, AI streamlines workflows, minimizes environmental footprints, and ensures product consistency. The study examines AI-driven solutions for waste reduction through data-driven modeling and circular economy practices, aligning the industry with global sustainability goals. Additionally, it identifies key barriers to AI adoption—including infrastructure limitations, ethical concerns, and economic constraints—and proposes strategies for overcoming them. The findings highlight the necessity of cross-sector collaboration among industry stakeholders, policymakers, and technology developers to fully harness AI's potential in building a resilient and sustainable food manufacturing ecosystem.
Bibliografia:ObjectType-Article-1
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Reviewed by: Oznur Oztuna Taner, Aksaray University, Türkiye
Emre Hastaoǧlu, Cumhuriyet University, Türkiye
Kanwal Gul, University of Naples Federico II, Italy
Edited by: Ahmet Yemenicioǧlu, Izmir Institute of Technology, Türkiye
These authors have contributed equally to this work
ISSN:2296-861X
2296-861X
DOI:10.3389/fnut.2025.1553942