Title :
The prediction of pesticides usage based on PSO algorithm
Author :
Zhang Xiu-hong ; Long Hai-xia ; Yong, Lin
Author_Institution :
Sch. of Inf. Sci. & Technol., Hainan Normal Univ., Haikou, China
Abstract :
According to the data of the 18 cities and counties pesticide usage and tropical crops area of HaiNan province from 2003 to 2010, the prediction model is established based on the particle swarm optimization algorithm. From the fitted curve the trend direction about pesticides usage with the time course of change is clearly observed. The result can be used to provide a reference for department of pesticide monitoring, management and decision-making.
Keywords :
agricultural products; agrochemicals; decision making; particle swarm optimisation; Hainan province; PSO algorithm; decision-making; fitted curve; particle swarm optimization algorithm; pesticide management; pesticide monitoring; pesticides usage prediction; trend direction; tropical crops area; Agriculture; Cities and towns; Educational institutions; Particle swarm optimization; Prediction algorithms; Predictive models; Vectors; HaiNan; particle swarm optimization algorithm; pesticide; prediction evaluation;
Conference_Titel :
Computational Problem-Solving (ICCP), 2012 International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4673-1696-5
Electronic_ISBN :
978-1-4673-1695-8
DOI :
10.1109/ICCPS.2012.6384300
