A computational model to predict the population dynamics of Spodoptera frugiperda
A computational model to predict the population dynamics of Spodoptera frugiperda is a scholarly work, published in 2018 in ''Journal of Pest Science''. The main subjects of the publication include resistance, entomopathogenic fungus, agronomy, insect, ecology, biology, PEST analysis, Spodoptera frugiperda, larva, Spodoptera, and population. The authors developed a computational model that is able to represent the spatio-temporal dynamics of fall armyworms in agricultural landscapes composed of Bt and non-Bt areas, allowing the user to define different input variables, such as the crop area, thermal requirements of S. frugiperda, migration rate, rate of larval movement, and insect resistance to transgenic crops.