Spatiotemporal Modeling Of Agricultural Yield Monitor Data

This paper shows that spatial panel data models can be successfully applied to an econometric analysis of farm-scale precision agriculture data. The application focuses on the estimation of the effect of controlled drainage water management equipment on corn yields. Using field-level precision agriculture data and spatial panel techniques, the yield response equation is estimated using the spatial autoregressive error random effects model with temporal heterogeneity, incorporating spatial dependence in the error term, while controlling for the topography, weather and the controlled drainage treatment. Controlling for random effects allows for the disentanglement of the effects of spatial dependence from spatial heterogeneity and omitted variables, and thus, to properly investigate the yield response. The results show that controlled drainage has a statistically significant effect on corn yields. The effect is generally positive but varies widely from year to year and field-to-field. For the two years of data controlled drainage was linked to a 2.2% increase in field average yield, but that varied from a -2.6% to a +6.5%. Evaluated at mean elevation and slope in the east part of the field, controlled drainage is associated with 10 bu/a increase and a 0.6 bu/a decrease in yields in 2005 and 2006, respectively. In the West part of the field, controlled drainage is associated with a 11 bu/a increase in 2006 and 2.81 bu/a decrease in 2005.