Research on the trend of vegetable safety based on data mining

Author

Fang, Yongmei ; Ling, Liwen ; Yang, Jiahua

Author_Institution

Coll. of Inf., South China Agric. Univ., Guangzhou, China

fYear

2011

fDate

16-18 Sept. 2011

Firstpage

2533

Lastpage

2536

Abstract

Vegetable is one of the necessities of people´s daily life. The quality and safety of vegetable is associated directly with the health of citizen and affects the sustainable development of national economy. It is Pesticide residue that is one of the important factors which affects the quality and safety of vegetable. In this paper, Logistic model of data mining technology is applied to mining the limited assay information of vegetable and forecasting the risk of pesticide residue in the further. The result is credible and can offer some decisions based on the supervision of vegetable quality and safety to the supervisors.

Keywords

agricultural products; agricultural safety; agrochemicals; data mining; macroeconomics; risk management; sustainable development; data mining; logistic model; national economy; pesticide residue risk forecasting; sustainable development; trend analysis; vegetable quality; vegetable safety; Data mining; Data models; Educational institutions; Informatics; Logistics; Safety; Sociology; data mining; logistic; quality; trend analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Control Engineering (ICECE), 2011 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8162-0

Type

conf

DOI

10.1109/ICECENG.2011.6057777

Filename

6057777