食品制造业人工智能驱动的转型:实现可持续效率和质量保证的途径
Kushagra Agrawal1, Polat Goktas2, Maike Holtkemper3
1School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India.
Frontiers in nutrition
|April 4, 2025
概括
人工智能 (AI) 通过提高生产和可持续性来优化食品制造. 这篇评论强调了人工智能.
科学领域:
- 食品科学与技术 食品科学与技术
- 制造业 工程 制造工程
- 人工智能应用程序 人工智能应用程序
背景情况:
- 食品制造业在优化生产,减少浪费和实现可持续性目标方面面临着挑战.
- 整合先进技术对于解决这些行业范围的问题至关重要.
- 人工智能 (AI) 为转型提供了重大机会.
研究的目的:
- 从2019-2024年审查和综合AI在食品制造中的应用文献.
- 探索人工智能如何优化生产,减少浪费,提高可持续性.
- 确定人工智能采用的障碍,并提出克服这些障碍的策略.
主要方法:
- 使用同行评审研究的文献审查方法 (2019-2024年).
- 结构化的方法,包括数据库搜索和定义的包含/排除标准.
- 综合了关于人工智能应用,废物减少和可持续性的发现.
主要成果:
- 人工智能通过预测分析,实时监控和计算机视觉,简化工作流程并确保产品的一致性.
- 人工智能驱动的解决方案通过数据驱动的建模和循环经济原则有效减少浪费.
- 关键障碍包括基础设施,伦理考虑和经济因素.
结论:
- 人工智能对于具有弹性和可持续的食品制造生态系统至关重要.
- 跨部门的合作对于成功实施人工智能至关重要.
- 解决采用障碍将释放AI在行业中的全部潜力.
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