Machine learning produces higher prediction accuracy than the Jarvis-type model of climatic control on stomatal conductance in a dryland wheat agro-ecosystem

•Machine learning (ML) produces high prediction accuracy of gs in wheat.•The ML models are especially important for interpolating datasets with good accuracy.•The ML models require large datasets for training to achieve statistical significance.