Crop Yield Prediction Using Bayesian Spatially Varying Coefficient Models with Functional Predictors

Yeonjoo Park, Bo Li & Yehua Li
Reliable prediction for crop yield is crucial for economic planning, food security monitoring, and agricultural risk management. This study aims to develop a crop yield forecasting model at large spatial scales using meteorological variables closely related to crop growth. The influence of climate patterns on agricultural productivity can be spatially inhomogeneous due to local soil and environmental conditions. We propose a Bayesian spatially varying functional model (BSVFM) to predict county-level corn yield for five Midwestern...
1 citation reported since publication in 2022.
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