Prediction of atrazine degradation in soil based on XGBoost model.
Xiangling Li, Fengxian Chen, Xijuan Chen · PubMed · 2024
model. By using machine learning method to fully explore the value of historical experimental data and predict the degradation efficiency of atrazine using environmental parameters, it is of great significance to set the threshold for atrazine application, reduce the residual and diffusion risks of atrazine in soil, and ensure the safety of soil environment.