Evaluation of models agrometeorologicals for productivity estimation in corn culture
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Abstract: The objective of this study was to evaluate agrometeorological models to estimate productivity in maize crop, determining the implications of the changes in productivity and the best model adjusted for the conditions evaluated. Clusters of climatological data were used for three maize crops in Chapadão do Sul - MS. The method of estimation of the agroclimatic productivity for the region of study was the best and efficient one to estimate the corn production.