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

IF 4 2区农林科学 Q2 NUTRITION & DIETETICS

Frontiers in Nutrition Pub Date : 2025-03-13 eCollection Date: 2025-01-01 DOI:10.3389/fnut.2025.1553942

Kushagra Agrawal, Polat Goktas, Maike Holtkemper, Christian Beecks, Navneet Kumar

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引用次数: 0

Abstract

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.

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本研究旨在探讨人工智能（AI）通过优化生产、减少浪费和提高可持续性在食品制造中的变革性作用。本综述采用文献综述的方法，综合了 2019 年至 2024 年间发表的同行评审研究结果。采用了结构化方法，包括数据库搜索和纳入/排除标准，以评估人工智能在食品制造中的应用。通过利用预测分析、实时监控和计算机视觉，人工智能简化了工作流程，最大限度地减少了环境足迹，并确保了产品的一致性。该研究通过数据驱动建模和循环经济实践，探讨了人工智能驱动的减少浪费解决方案，使该行业与全球可持续发展目标保持一致。此外，研究还指出了采用人工智能的主要障碍--包括基础设施限制、道德问题和经济制约，并提出了克服这些障碍的策略。研究结果强调了行业利益相关者、政策制定者和技术开发者之间开展跨部门合作的必要性，以充分利用人工智能的潜力，建立一个具有复原力和可持续性的食品制造生态系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Frontiers in Nutrition Agricultural and Biological Sciences-Food Science

CiteScore

5.20

自引率

8.00%

发文量

2891

审稿时长

12 weeks

期刊介绍： No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health. Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.