基于大数据分析的食品检测精度提升策略

摘 要：随着人们对食品安全关注度的不断提高，食品检测精度的重要性愈发凸显。本文阐述大数据在食品检测中的应用现状以及大数据分析对食品检测精度提升的作用，剖析基于大数据分析提升食品检测精度面临的挑战，并提出针对性的应对策略，旨在为食品检测行业借助大数据实现检测精度提升提供理论支持与实践指导。

关键词：大数据分析；食品检测精度；数据挖掘；质量控制

Improvement Strategy of Food Detection Accuracy Based on Big Data Analysis

LI Yang， ZHENG Haiwei， CHEN Liping， WANG Jiahui

（Weifang HR-HC Testing Technology Co.， Ltd.， Weifang 261000， China）

Abstract： With the continuous improvement of people’s attention to food safety， the importance of food detection accuracy becomes more and more prominent. This paper describes the application status of big data in food detection， the role of big data analysis in improving the accuracy of food detection， analyzes the challenges faced by improving the accuracy of food detection based on big data analysis， and puts forward targeted countermeasures， aiming to provide theoretical support and practical guidance for the food detection industry to improve the detection accuracy with the help of big data.

Keywords： big data analysis; food detection accuracy; data mining; quality control

食品安全是关乎公众健康和社会稳定的重要议题，食品检测作为保障食品安全的关键环节，其检测精度直接影响到对食品安全风险的准确评估和有效防控。（剩余4368字）