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人工智能将彻底改变食物检测? 视觉,嗅觉和味觉与机器学习/深度学习相结合,用于食品检测
Changhui Wei1, Li Zhou2, Buwen Liang1
1College of information and electrical engineering, China Agricultural University, Beijing 100083, PR China.
Food chemistry
|December 9, 2025
概括
人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),正在通过实现自动特征提取和提高准确性来彻底改变食品检测. 这项技术在食品安全和质量评估方面提供了显著的改进和未来的潜力.
科学领域:
- 食品科学与技术 食品科学与技术
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 传统的食品检测方法通常依赖于手工制作的特征,限制了准确性和稳定性.
- 人工智能 (AI) 的整合为食品分析提供了一个范式转变.
- 机器学习 (ML) 和深度学习 (DL) 是改变该领域的关键人工智能技术.
研究的目的:
- 阐明AI,ML和DL在食品检测中的机制.
- 分析人工智能增强感知系统的优点和局限性.
- 探索未来的前景,包括多式联运数据融合和大型语言模型 (LLM).
主要方法:
- 专注于AI算法用于特征提取,模式识别和决策反.
- 人工智能在计算机视觉,电子鼻子和电子舌头等感知系统中的应用.
- 分析AI实现自动学习和高维信号表示的能力.
主要成果:
- 人工智能算法克服了手工制作特征的局限性,提高了检测准确性和稳定性.
- 感知系统通过自动学习能力展示了更好的性能.
- 人工智能显著提升了食品检测的理论框架和技术范式.
结论:
- 人工智能,ML和DL对于推进食品检测技术至关重要.
- 未来的方向包括多式联网数据融合和大型语言模型 (LLM) 以提高能力.
- 解决食品检测人工智能的当前挑战对于未来的发展至关重要.
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