人工智能在个性化营养和食品制造方面:对方法,应用和未来方向的全面审查
Kushagra Agrawal1, Polat Goktas2, Navneet Kumar3
1School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India.
Frontiers in nutrition
|August 7, 2025
概括
人工智能 (AI) 正在通过实现个性化的饮食计划和优化粮食生产来彻底改变营养和食品系统. 这项技术增强了精确的健康,并促进了可持续的,有弹性的食品生态系统.
科学领域:
- 营养科学 营养科学
- 食品系统工程 食品系统工程
- 计算机科学 计算机科学
背景情况:
- 人工智能 (AI) 在营养和食品系统的关联中变得越来越重要.
- 人工智能为精密健康,智能制造和可持续发展提供可扩展的解决方案.
- 现有的饮食模式往往是人口级和静态的,缺乏个性化.
研究的目的:
- 在精密营养和食品生产中全面审查人工智能驱动的创新.
- 检查AI在实时饮食建议,个性化餐饮计划和自适应反中的作用.
- 探索将人工智能集成到食品制造中,以进行质量控制,预测性维护和减少浪费.
主要方法:
- 审查深度学习,联合学习和计算机视觉方面的进展.
- 分析人工智能在个性化营养和食品系统优化中的应用.
- 检查道德AI实施的挑战和途径.
主要成果:
- 人工智能将静态的饮食模型转化为动态的,以数据为基础的框架,以满足个体需求.
- 人工智能集成提高了粮食生产效率,弹性和循环经济目标.
- 人工智能通过实时建议和自适应反系统促进精准营养.
结论:
- 人工智能是智能,包容性和可持续的食品健康生态系统的关键推动因素.
- 解决算法透明度,数据隐私和公平访问方面的挑战对于AI实施至关重要.
- 利用人工智能为个性化营养和食品系统的未来进步提供了路线图.
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