Modeling and Prediction of Bee Population Based on Discretization, DGM (2,1) and Logistic Methods

Bee population has long been a key factor affecting the development of bee-related industries and related ecological environment. With the increasing number of bees in a region, it is one of the important guarantees to realize the sustainable development of bee-related industry and ecological environment to establish a mathematical model to predict the number of bees in a beehive colony from the time series and master the change rule of the number of bees in the future unit colony. In this paper, based on the prediction of the number of bees in a year with the change of time as the background, considering its discretization, DGM (2,1) and Logistic methods were used to establish differential equation models for numerical simulation to simplify the bee iteration format, and the sensitivity analysis of related factors was carried out on the models. On this basis, the number of hives is predicted further.