1. How Does Yield Data Filtering in Grain Harvesters Influence the Quality of Interpolated Maps?

Yield maps generated from grain harvester data are effective tools for characterizing the spatial variability of crop yields. However, several embedded errors are inherent in these datasets, requiring removal methods to ensure the fidelity of actual field yield values and the reliability of the resulting maps. Therefore, this study aimed to determine the optimal combination of parameters for the global and local filtering of grain harvester yield maps to improve the quality of interpolated maps.... A. Andrade Da Silva, E. Sales, T. Moura Oliveira, R. De Souza Silva, S. Luns, R.P. Silva, E. Perussi