1. Performance of Spatial Prediction Models Under Different Sample Densities in Corn Yield Maps

Yield maps are essential for the consistent management of crop variability. The accuracy of these maps, however, is directly affected by the density of data collected by grain harvesters and by the choice of interpolation method, whether deterministic or statistical. This study aimed to evaluate the performance of four spatial prediction methods, tested under different sample densities, for the development of corn yield maps. The study area corresponds to an 11-hectare commercial field, utilizing... L.M. Gimenez, L.M. Santos, M. Hass Bomfim Vieira