Abstract: To express efficiently the association and difference among cities, categories and standards in pesticide residue detection data analysis, a fusion visualization method based on data statistic and OpenGL graphics library was proposed. The method can accelerate the dataset comparing and selecting for the expert interaction and data analysis. The method firstly summarizes the detection data in pesticide residue detection database according to its various category and belonging region. All the data are shown in one fusion visualization result. The result can assist expert to compare efficiently and analysis intuitionally the dataset. The data of the selected dataset in expert interaction are measured based on multiple regional MRL standard. The measured results based multiple standards are shown in one fusion visualization interface. The fusion visualization can achieve to support the fast evaluation and representation for the detection data. The experimental results denoted the method can achieve the intuitive and accurate global data overview and prognostication. The method can support the expert interaction in real time.

Key words: data visualization, data comparing, fusion visualization, pesticide residue detection data