在加工前,基于人工智能的新鲜水果和蔬菜的智能预处理:研究进展和应用前景
Yaxin Zhou1, Min Zhang2, Jinjin Huang3
1State Key Laboratory of Food Science and Resources, Jiangnan University, 214122 Wuxi, Jiangsu, China; Jiangsu Province International Joint Laboratory on Fresh Food Smart Processing and Quality Monitoring, Jiangnan University, 214122 Wuxi, Jiangsu, China.
Food research international (Ottawa, Ont.)
|January 29, 2026
概括
人工智能 (AI) 通过克服传统限制,提高了水果和蔬菜 (F&V) 的预处理. 机器学习等人工智能技术可以实现自动排序和缺陷识别,提高加工效率和产品质量.
科学领域:
- 农业工程 农业工程
- 食品科学与技术 食品科学与技术
- 计算机科学 计算机科学
背景情况:
- 传统的水果和蔬菜 (F&V) 预处理依赖于手工方法,导致效率低下和质量不一致.
- 传统的F&V预处理的局限性包括精度低,难以保证产品质量和营养保留.
研究的目的:
- 审查人工智能 (AI) 在F&V预处理中的研究进展和应用前景.
- 探索AI技术如何克服传统F&V预处理方法的局限性.
主要方法:
- 引入主要的人工智能技术:机器学习 (ML),深度学习 (DL) 和人工神经网络 (ANN).
- 讨论人工智能应用场景,包括计算机视觉系统 (CVS) 和电子鼻子 (E-nose).
- 在特定的F&V预处理步骤中审查AI应用:分类,分级,清洁,剥离,切割,色彩保护和漂白.
主要成果:
- 人工智能能够自动排序和准确识别F&V缺陷.
- 人工智能可以预测和优化各种预处理过程的参数.
- 当前的人工智能应用显示出改善F&V处理的巨大潜力.
结论:
- 在F&V预处理中,AI的整合为效率,准确性和质量提供了实质性的改进.
- 预计人工智能的未来进展将使F&V预处理的集成自动控制成为可能.
- 这项研究为进一步AI应用在F&V加工行业的智能进步提供了基础.
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