Limits to the Spatial Transferability of Machine-Learning Models for Farm-Record-Level Maize Yield Prediction in Manabí, Ecuador
Farm-level yield models are commonly evaluated using random train–test partitions; however, spatial dependence among geographically related observations can lead to overly optimistic estimates of predictive performance and may not adequately reflect generalization to unseen locations. This study evaluated whether super...