Statistical optimization and inequality assessment of corn planting: An analysis of seeding depth and spacing uniformity

The project aims to identify the optimal combination of planting speed and downforce settings for achieving a corn seeding depth of 2 inches, while also assessing the variability of these settings across all planter sections.

The project investigates the correlation between plant-to-plant spacing inequality and grain yield at the plant level, employing Lorenz Curves, the Gini Index, and quantile regression as the statistical tools.