在茶叶加工中,Vis/NIRS和人工智能辅助的成像技术的进步
Dengshan Li1, Quansheng Chen1,2, Qin Ouyang1,3
1School of Food and Biological Engineering, Jiangsu University, Zhenjiang, P.R. China.
Critical reviews in food science and nutrition
|March 7, 2025
概括
人工智能 (AI) 与可见/近红外光谱 (Vis/NIRS) 和高光谱成像 (HSI) 结合,可以提高茶叶质量监测. 这些先进技术为自动化茶叶生产提供了快速,非破坏性和客观的评估.
科学领域:
- 农业科学 农业科学
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 计算机科学 计算机科学
背景情况:
- 茶的质量至关重要,传统上通过主观的人体感官评估来评估.
- 传统方法倾向于主观性和环境变化.
- 现代茶叶加工需要客观,快速和非破坏性的技术.
研究的目的:
- 审查最近 (2019-2025) 应用人工智能辅助的Vis/NIRS和HSI用于茶叶质量监测的进展.
- 在茶叶生产中探索光谱技术与人工智能的整合.
- 确定茶叶行业实际实施的挑战和未来趋势.
主要方法:
- 关于茶叶质量评估中的Vis/NIRS和HSI应用的科学文献的审查.
- 对用于光谱数据处理和决策的AI算法的分析.
- 专注于融入茶叶生产过程中的技术.
主要成果:
- 当被人工智能增强时,Vis/NIRS和HSI提供了有效的,非破坏性的茶叶质量监测.
- 这些综合技术使得快速的光谱分析和自动化决策成为可能.
- 从2019年到2025年,在应用这些方法方面取得了重大进展.
结论:
- 人工智能辅助的Vis/NIRS和HSI代表了客观茶叶质量控制的重大技术飞跃.
- 这些方法为自动化茶叶加工中的传统感官评估提供了有希望的替代方案.
- 需要进一步的研究来解决茶叶行业广泛采用的挑战.
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