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农业食品系统中的人工智能:从农场到叉子
Ali Aghababaei1, Fatemeh Aghababaei2, Marc Pignitter3
1Department of Information Engineering, University of Padova, Via Gradenigo, 6/b, 35131 Padova, Italy.
Foods (Basel, Switzerland)
|February 13, 2025
概括
人工智能 (AI) 和机器学习 (ML) 正通过提高质量和加工来改变食品行业. 这些技术为可变性挑战提供了解决方案,增强了从农场到餐桌的各种食品部门.
科学领域:
- 食品科学与技术 食品科学与技术
- 农业科学 农业科学
- 计算机科学 计算机科学
背景情况:
- 消费者需求驱动的焦点是食品质量,营养和加工.
- 食品加工中的变化带来了重大挑战.
- 人工智能 (AI) 和机器学习 (ML) 提供跨学科的解决方案.
研究的目的:
- 审查各种食品工业部门的AI应用.
- 探索人工智能在提高食品质量,安全和加工方面的作用.
- 为了检查食品行业3D打印技术的进步.
主要方法:
- 关于人工智能和机器学习在食品加工中的应用的文献评论.
- 对人工智能在农业,面包,饮料,乳制品等领域的整合进行分析.
- 探索3D打印的进步和未来的前景.
主要成果:
- 人工智能和机器学习已经成功地应用于各种食品行业,包括包装,分类和干燥.
- 在改善食品质量,安全性和保质期方面取得了重大进展.
- 3D打印技术显示出食品制造和服务领域的创新潜力.
结论:
- 人工智能和机器学习对于解决食品加工变异性和提高行业绩效至关重要.
- 人工智能和机器学习的持续整合有望进一步提高食品质量和效率.
- 3D打印等新兴技术为食品行业的创新提供了新的途径.
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