Accurate, historical, and continuous global crop yield data are essential for assessing risks to the global food system. However, existing datasets often have limited spatial and temporal resolution.

Contemporary machine learning algorithms train artificial neural networks by setting network weights to a single optimized configuration through gradient descent on task-specific training data. The ...