Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

The Effects of Mulch and Nitrogen Fertilizer on the Soil Environment of Crop Plants

Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China