Predicting agricultural drought indicators: ML approaches across wide-ranging climate and land use conditions

•Drought indicator prediction is assessed with various machine learning models.•The temporal method is most effective but requires large computing power.•The multi-features method achieves great performance in large scale prediction.•Soil moisture is the most readily modeled and best predicted drought indicator.