机器视觉在食品计算中的应用:一篇综述
Zhiyao Zhao1, Rong Wang1, Minghao Liu1
1School of Computer and Artificial Intelligence, School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.
Food chemistry
|October 5, 2024
概括
人工智能 (AI) 和机器视觉通过图像识别来增强食品工业. 本综述涵盖了人工智能在食品安全,营养分析和可持续发展过程优化方面的应用.
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
- 人工智能的人工智能
背景情况:
- 全球越来越多的智能和可持续发展意识推动了食品行业的AI采用.
- 基于机器视觉的图像识别是食品计算应用中的关键AI技术.
研究的目的:
- 审查当前的研究状况和机器视觉在食品计算中的未来前景.
- 为将人工智能整合到食品行业提供理论和技术指导.
主要方法:
- 审查食品工业中的实际应用案例.
- 探索图像识别工作流程.
- 分析传统的机器学习和深度学习方法.
主要成果:
- 使用传统和深度学习的图像识别,适用于食品安全,营养分析,过程监测和管理优化.
- 该研究强调了人工智能在增强食品工业运营中的多种应用.
结论:
- 基于机器视觉的图像识别为推进食品工业提供了巨大的潜力.
- 人工智能集成促进了食品计算的创新和效率,支持可持续发展目标.
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