基于数据分析的食品质量控制方法探讨

Abstract：With the rapid development of big data and artificial inteligence technologies，data analysis has become a key means for achieving precise quality control and ensuring food safety in the modern food industry. This article systematically explores the application of data analysis technology in food quality control， covering aspects such asraw material quality assessment and traceability，real-time monitoring and optimization of production proceses，non-destructive testing and predictionoffinished products，and supply chain datacolaboration，analyzes challenges currently faced in this application，such as data barriers and model generalization capabilities，and proposes strategies toaddress these challenges，hoping to provide theoretical reference for the intelligent upgradeof the food industry.

Keywords： data analysis; food safety; quality control; machine learning; process monitoring

食品质量与安全是关乎国计民生的重大议题直接影响消费者的健康与企业的生存发展[1]。（剩余4389字）