DocumentCode
3332628
Title
Notice of Retraction
Prediction Map Helping to Improve the Pesticides Monitoring Efficiency in the Netherlands
Author
Hua Pan ; Linhua Jiang
Author_Institution
Dept. of Chem. Eng. & Chem., Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear
2011
fDate
10-12 May 2011
Firstpage
1
Lastpage
3
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In the Netherlands, pesticides are monitored separately by different local water authorities. These authorities can decide which pesticide should be monitored at what frequency in which place and at what time. Therefore, if possible to predict where and what pesticide will be present in the surface water, it will definitely help improve the monitoring efficiency greatly. In this research, based on the growing crops, it is possible to predict the pesticide usage and therefore to predict the possibility of pesticide occurrence in the surface water. This occurrence prediction was shown with a map which is so called the prediction map. It can be used to help make the decisions more reasonable and make the monitoring system more efficient and systematic, based on which monitoring facilities can be applied more efficiently.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In the Netherlands, pesticides are monitored separately by different local water authorities. These authorities can decide which pesticide should be monitored at what frequency in which place and at what time. Therefore, if possible to predict where and what pesticide will be present in the surface water, it will definitely help improve the monitoring efficiency greatly. In this research, based on the growing crops, it is possible to predict the pesticide usage and therefore to predict the possibility of pesticide occurrence in the surface water. This occurrence prediction was shown with a map which is so called the prediction map. It can be used to help make the decisions more reasonable and make the monitoring system more efficient and systematic, based on which monitoring facilities can be applied more efficiently.
Keywords
agrochemicals; crops; environmental monitoring (geophysics); geophysical techniques; pest control; water pollution measurement; water quality; Netherlands; growing crops; local water authorities; monitoring facilities; monitoring system; pesticide monitoring efficiency; pesticide occurrence; pesticide usage; prediction map; surface water; Agriculture; Europe; Green products; Monitoring; Pollution measurement; Water pollution; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on
Conference_Location
Wuhan
ISSN
2151-7614
Print_ISBN
978-1-4244-5088-6
Type
conf
DOI
10.1109/icbbe.2011.5780807
Filename
5780807
Link To Document