Predicting Bemisia tabaci population during tobacco growing by fuzzy matrix

To effectively and timely control Bemisia tabaci, the main meteorological factors affecting the occurrence of Bemisia tabaci at tobacco growing stages were screened on the basis of meteorological data and population survey data from 2003 to 2013. Fuzzy matrices were established, and their prediction effects were validated with the meteorological data and survey data in 2014. The results showed that the levels of population of Bemisia tabaci predicted by the established fuzzy matrices agreed with the actual levels from 2003 to 2014. Therefore, the occurrence level of Bemisia tabaci at tobacco growth stage could be successfully predicted with fuzzy matrix and the prediction effect could be used as a tool to control Bemisia tabaci population.