Tobacco pests monitoring system based on time sequence pattern mining*

Abstract

In order to achieve rapid reporting and quantitative prediction of tobacco pests, one tobacco pests forecasting model was established to realize the prevention and control the tobacco pests' trends by time series data mining technology. The experimental result shows that the effective prediction of data is conducive to the effective tobacco pests monitoring.