Algorithm of Double Level Visual Modeling Based on Data of Pesticide Residues

Authors

Ruijun Liu, 1. Beijing Technology and Business University, Beijing 100048, China;;3. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China;
Chen Yi, 1. Beijing Technology and Business University, Beijing 100048, China;;3. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China;
Xu Yang, 2. Peking University, Beijing 100871, China;;

Abstract

Abstract: Based on the study of pesticide residues detection result data, which has the characteristics of geographical level and the level of classification of fruits and vegetables, in node links and radial loop algorithm visualization model, the double level structure, radiation chain graph CircleLink, was designed for analysis of pesticide residues data in visual modeling algorithm. The visual modeling algorithm was applied to the actual pesticide residues detection results data for the simulation analysis and conclusions. Analysis of the characteristics of pesticide collection, distribution of agricultural products and supermarket pesticide residues of pesticide residues was applied.

Recommended Citation

Liu, Ruijun; Yi, Chen; and Yang, Xu (2020) "Algorithm of Double Level Visual Modeling Based on Data of Pesticide Residues," Journal of System Simulation: Vol. 27: Iss. 9, Article 28.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss9/28

First Page

2144

Revised Date

2015-07-20

DOI Link

https://doi.org/

Last Page

2149

CLC

TP391.4

Recommended Citation

Liu Ruijun, Chen Yi, Xu Yang. Algorithm of Double Level Visual Modeling Based on Data of Pesticide Residues[J]. Journal of System Simulation, 2015, 27(9): 2144-2149.