基于人工智能的未来预制食品加工:进展和前景
Jinjin Huang1, Min Zhang2, Arun S Mujumdar3
1State Key Laboratory of Food Science and Technology, Jiangnan University, 214122 Wuxi, Jiangsu, China; International Joint Laboratory on Food Safety, Jiangnan University, 214122 Wuxi, Jiangsu, China.
Food research international (Ottawa, Ont.)
|January 24, 2025
概括
人工智能 (AI) 正在通过提高分类,清洁和切割来彻底改变准备好的食品加工. 人工智能应用有望提高食品行业的效率,安全性和可持续性.
科学领域:
- 食品科学与技术 食品科学与技术
- 食品加工中的人工智能
- 可持续的粮食系统 可持续的粮食系统
背景情况:
- 随着现代生活方式和对方便的需求,预制食品行业正在迅速扩大.
- 目前的加工面临着诸如劳动力短缺,分类效率低下,清洁不足和安全问题等挑战.
- 人工智能 (AI) 为这些行业挑战提供了一个变革性的解决方案.
研究的目的:
- 审查人工智能在准备食品加工中的应用的进展和未来前景.
- 涵盖AI在分类,分类,清洁,预处理和冷方面的作用.
- 突出AI在提高效率,安全和可持续性方面的潜力.
主要方法:
- 审查人工智能技术,包括数学建模,化学测量,机器学习,模糊逻辑和自适应的神经模糊推理系统.
- 对特定食品加工阶段的人工智能应用的分析:分类,清洁和切割.
- 检查AI对成分分类,微生物污染检测和资源优化影响.
主要成果:
- 人工智能驱动的分类系统使用计算机视觉提高了成分分类的准确性.
- 深度学习模型通过光谱成像来增强清洁过程中的微生物污染检测.
- 人工智能应用显示出提高效率,准确性,一致性和减少浪费的潜力.
结论:
- 人工智能显著提高了准备食品的加工效率,准确性和一致性.
- 采用人工智能可以降低劳动力成本,改善卫生,减少浪费,降低环境影响.
- 未来的人工智能发展将推动食品加工行业的更智能,更可持续的做法.
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