This study describes the development of a web-based system that collects all data generated in the research conducted to set pre-harvest residue limits (PHRLs) for agricultural product safety control. These data, including concentrations of pesticide residues, limit of detection, limit of quantitation, recoveries, weather charts, and growth rates, are incorporated into a database, a regression analysis of the data is performed using statistical techniques, and the PHRL for an agricultural product is automatically computed. The development and establishment of this system increased the efficiency and improved the reliability of the research in this area by standardizing the data and maintaining its accuracy without temporal or spatial limitations. The system permits automatic computation of the PHRL and a quick review of the goodness of fit of the regression model. By building and analyzing a database, it also allows data accumulated over the last 10 years to be utilized.

• Han Sub Chang(Experiment Research Institute, National Agricultural Products Quality Management Service) ☎
• Hey Ree Bae(Experiment Research Institute, National Agricultural Products Quality Management Service)
• Young Bae Son(Experiment Research Institute, National Agricultural Products Quality Management Service)
• In Ho Song(Experiment Research Institute, National Agricultural Products Quality Management Service)
• Cheol Ho Lee(Consumption Safety Department, National Agricultural Products Quality Management Service)
• Nam Geun Choi(Consumption Safety Department, National Agricultural Products Quality Management Service)
• Kyoung Kyu Cho(Consumption Safety Department, National Agricultural Products Quality Management Service)
• Young Gu Lee(Consumption Safety Department, National Agricultural Products Quality Management Service)