Abstract
The methods of variable selection have been used in several contexts to solve challenges related to identifying patterns in datasets. Considering that the data obtained in agriculture tend to generate a significant number of variables that are not linearly correlated, there is a need to apply alternative methodologies for adequate treatment of georeferenced data. The objective of the proj…