Title :
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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057777
