食品计算的AI支持物联网:挑战,机遇和未来方向
Zohra Dakhia1,2, Mariateresa Russo3, Massimo Merenda2,4
1Department of Biology, University Federico II of Naples, 80126 Naples, Italy.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
食品计算结合了人工智能 (AI) 和物联网 (IoT),以提高食品系统的效率,安全性和可持续性. 这项技术优化了供应链,提高了食品安全,并通过数据驱动的洞察力实现了个性化的营养.
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
- 农业技术 农业技术
背景情况:
- 传统的食品系统在效率,安全和可持续性方面面临着挑战.
- 数字技术为食品行业提供了变革性的解决方案.
- 食品计算集成了AI,物联网和数据分析来应对这些挑战.
研究的目的:
- 审查人工智能和物联网在食品计算中的应用.
- 突出供应链优化,食品安全和个性化营养方面的进展.
- 讨论食品计算方面的挑战和新兴趋势.
主要方法:
- 审查人工智能应用:计算机视觉,自然语言处理,预测建模.
- 整合物联网用于实时监控和数据收集.
- 数据来源的探索:图像,营养数据库,用户日志.
主要成果:
- 人工智能增强了食品识别,质量评估,配方分析和饮食建议.
- 物联网提高了供应链的透明度,效率和可追溯性.
- 数据的融合使得量身定制的解决方案和个性化的营养成为可能.
结论:
- 食品计算为推进食品行业提供了巨大的潜力.
- 挑战包括数据异质性,隐私,可扩展性和法规.
- 像联合学习,区块链和边缘人工智能这样的新兴趋势为道德和可持续的食品系统提供了解决方案.
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