由人工智能驱动的食品安全创新,从农场到餐桌
Binfeng Yin1, Gang Tan1, Rashid Muhammad1
1School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Foods (Basel, Switzerland)
|June 13, 2025
概括
人工智能 (AI) 正在通过提高农场到的可追溯性和检测性来彻底改变食品安全. 人工智能集成改善了质量控制,确保了监管合规,并提供了个性化的营养,创造了一个更具适应性的食品系统.
科学领域:
- 食品科学与技术 食品科学与技术
- 计算机科学 计算机科学
- 公共卫生 公共卫生
背景情况:
- 食品供应链面临着复杂的安全挑战.
- 传统的方法在快速检测和可追溯性方面扎.
- 新兴技术为加强食品安全治理提供了潜在的解决方案.
研究的目的:
- 系统地审查人工智能 (AI) 在食品安全方面的核心应用.
- 突出人工智能在整个食品供应链中的作用,从生产到消费.
- 探索人工智能在食品工业4.0.0中的未来方向.
主要方法:
- 对人工智能在食品安全中的应用进行审查.
- 将光谱数据与人工智能集成,用于初级食物来源分析.
- 在食品加工中使用传感器和机器学习算法.
- 将AI与区块链结合起来,以实现可追溯性.
- 多源数据融合,实现个性化的营养.
主要成果:
- 人工智能有效地识别了原始食物来源中的害虫,疾病,腐烂和残留物.
- 机器学习确保监管合规,并监控生产参数.
- 人工智能和区块链创造了不可变的可追溯系统.
- 人工智能提高了食品分析方法的准确性和灵敏性.
- 个性化营养和饮食建议是通过数据融合实现的.
结论:
- 人工智能通过提供快速,智能化的解决方案,显著改变了食品安全治理.
- 在食品工业4.0中未来的人工智能扩展将提高适应性和灵活性.
- 人工智能集成有望实现更智能,更安全的食品供应链.
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