Research on Predicting Spread of Dandelion Seed Based on PCA and Dandelion Optimizer

Abstract

Plants such as Taraxacum officinale, as known as dandelion, flood our life and therefore influence our world drastically. They can result in both beneficial outcomes and negative consequences. As a major component of invasive species, the spread of dandelions in the ecosystem could contribute to the broke of ecological balance, causing economic loss in agriculture. Therefore, researching the spread and influencing factors of dandelions has extremely significant importance. To determine the impact factors, we comprehensively consider complicated sub-factors. After quantifying and unifying the data, we utilize PCA for low-dimensional analysis. And, we introduce data from other invasive species to validate the generalization of our model. Based on the results of PCA, we establish a model based on Dispersion Optimization (DO), which predicts the spread of dandelions under different climatic conditions for 1 month, 2 months, 3 months, 6 months, and 12 months by collecting statistical data on climate indicators. We found that the longer the time period, the smaller the differences in dandelion spread across different climates.