Fusion Comparing Visualization Method for Pesticide Residue Detection Data

Authors

Hongqian Chen, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering,Beijing Technology and Business University, Beijing 100048, China;;
Li Hui, 2. College of Management, Beijing Union University, Beijing 100101, China;
Fang Yi, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering,Beijing Technology and Business University, Beijing 100048, China;;
Qixian Liu, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering,Beijing Technology and Business University, Beijing 100048, China;;
Chen Yi, 1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering,Beijing Technology and Business University, Beijing 100048, China;;

Abstract

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.

Recommended Citation

Chen, Hongqian; Hui, Li; Yi, Fang; Liu, Qixian; and Yi, Chen (2020) "Fusion Comparing Visualization Method for Pesticide Residue Detection Data," Journal of System Simulation: Vol. 28: Iss. 2, Article 14.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss2/14

First Page

354

Revised Date

2016-01-12

DOI Link

https://doi.org/

Last Page

360

CLC

TP391.9

Recommended Citation

Chen Hongqian, Li Hui, Fang Yi, Liu Qixian, Chen Yi. Fusion Comparing Visualization Method for Pesticide Residue Detection Data[J]. Journal of System Simulation, 2016, 28(2): 354-360.