人工智能算法在食品质量与安全中的应用研究进展

Research progress on the application of artificial intelligence algorithms in food quality and safety

中文关键词:  人工智能  算法  机器学习  深度学习  食品质量与安全

英文关键词:artificial intelligence  algorithms  machine learning  deep learning  food quality and safety

中文摘要:

      食品安全关乎国家经济发展与民众健康。随着科技发展, 传统检测手段已难以满足复杂场景下的食品安全监管需求。近年来, 人工智能(artificial intelligence, AI)因其高效率、高准确性以及强大的数据处理能力和精准识别与预测分析功能, 逐渐被应用于食品风味分析、食品安全风险评估与预警及真假鉴别等研究领域。AI技术的应用提升了食品质量安全检测的时效性与可靠性, 通过智能化决策辅助系统, 为监管部门构建起覆盖全产业链的防控体系, 成为保障“舌尖上的安全”的核心技术支撑。本文重点介绍了机器学习和深度学习的主要算法, 综述了AI算法在食品质量与安全方面的应用进展, 并对AI算法在食品质量与安全应用中存在的问题和未来研究趋势进行了展望, 以期为进一步推动AI技术在食品质量与安全领域的研究和实践提供参考, 为食品质量与安全检测提供研究思路。

英文摘要:

      Food safety is crucial for national economic development and public health. With the development of science and technology, traditional detection methods is difficult to meet the supervision requirements of food safety in complex scenarios. In recent years, artificial intelligence (AI), with its high efficiency, high accuracy, powerful data processing capabilities, and precise identification and predictive analysis functions, has gradually been applied to research fields such as food flavor analysis, food safety risk assessment and early warning, and authenticity identification. The application of AI technology has improved the timeliness and reliability of food quality and safety testing, and has built a prevention and control system covering the entire industry for regulatory departments through intelligent decision-making assistance systems, becoming the core technical support for ensuring “safety on the tip of the tongue”. This paper mainly introduced the main algorithms of machine learning and deep learning algorithms, and reviewed the research progress of AI algorithms in food quality and safety. Additionally, it looks ahead to the existing problems and future research trends of the application of AI algorithms in food quality and safety. The aim is to offer references for further promoting the research and practice of AI technology in the field of food quality and safety, and to provide research ideas for the field of food quality and safety detection.