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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yongmei Fang Liwen Ling Jiahua Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: College of informatics, South China Agricultural University, scau, Guangzhou, China (Yongmei Fang; Liwen Ling; Jiahua Yang) |
| 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. |
| Starting Page | 2533 |
| Ending Page | 2536 |
| File Size | 745573 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424481620 |
| e-ISBN | 9781424481651 |
| DOI | 10.1109/ICECENG.2011.6057777 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Sociology Quality Trend analysis Educational institutions Data models Safety Data mining Informatics Logistic Logistics |
| Content Type | Text |
| Resource Type | Article |
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