农产品质量安全检测中的数据处理方法探讨

Abstract： This article analyzes the importance of data processng in agricultural product testing， including error removal，data integration，and information mining. It provides a detailed introduction to common data procesing methods such asdata preprocessng，statisticalanalysis，and machine learming，explaining the principles，application scenarios，and advantages and disadvantages of each method.Combined with practical cases，it analyzes the application of data processing methods inspecific testing projects，such as pesticide residue detection and heavy metal content determination，aiming to provide areference for improving the level ofagricultural product quality and safety testing and to promote the effcient implementation of agricultural product quality and safety supervision.

Keywords： agricultural products; quality and safety testing; data processing

随着人们对食品安全关注度的不断提高，农产品质量安全检测工作日益受到重视。（剩余4063字）