In the 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 maximu

In this study, a machine learning algorithm, specifically Random Forest, was utilized to analyze the data-driven associations between OPD (crop yield) and crop-environment factors, including temperature (daily maximum and minimum temperature), precipitation, solar radiation, growing degree days, and soil organic matters.