Wuhan University

Chinese Academy of Inspection and Quarantine

Beijing Uni-star Inspection Technology Co., Ltd.

Fu Ren

Bing Fang

Guofang Pang

Ruobin Bai

Qiaoying Chang

Chunlin Fan

Xiaobo Zou

Haiyan Liu

Xiaoping Pang

A method of online tracing pesticide residues and visualizing an warning on the basis of high resolution mass spectrum, the Internet and geographic information. Among the problems in data analysis on pesticide residue detection for edible agricultural products, problems such as multiple data dimensions, complex data relationships, and requirements for high accuracy of analysis are difficult to solve at present. Thus, a cross-field technology combining three different elements, high resolution mass spectrum, the Internet and geographic information, is adopted and a data collection and intelligent analysis system for pesticide residue detection for edible agricultural products is developed; four major basic sub-databases are established; and pesticide residue detection data is presented in a thematic map, such that safety conditions of pesticide residues of edible agricultural products in five levels of administrative regions including national, provincial, prefectural and municipal level and district and county level can be intuitively and simply displayed.

Method of online tracing pesticide residues and visualizing warning on basis of high resolution mass spectrum, internet and geographic information

Growing community of inventors

Hubei, China

Fu Ren