In this work a machine learning algorithm ie Random Forest were employ to capture the data-driven relationships between OPD and crop-environment regarding indicators comprising temperature daily maxim

In this work, a machine learning algorithm (i.e., Random Forest) was employed to capture the data-driven relationships between OPD and crop-environment regarding indicators comprising temperature (daily maximum and minimum temperature), precipitation, solar radiation, growing degree days, and soil organic matter.