 However, most of these stakeholders are unwilling to pay for the price of weather derivatives (WD) because of  product-design and geographical basis risks in the pricing models of WD. Using machine learning ensemble technique for crop yield forecasting and feature importance, the major major weather variable (average temperature) that affects crop yields are empirically determined.
<meaning-changed>  However, most of these stakeholders are unwilling to pay for the price of weather derivatives (WD) because of  product-design and geographical basis risks in the pricing models of WD. Using machine learning ensemble technique for crop yield forecasting and feature importance, the major major weather variable (average temperature) that affects crop yields are empirically determined.
 However, most of these stakeholders are unwilling to pay for the price of weather derivatives (WD) because of the presence of basis risks ( product-design and geographical basis risks in the pricing models of WD. Using machine learning ensemble technique for crop yield forecasting and feature importance, the major major weather variable (average temperature) that affects crop yields are empirically determined.