Several equipments and methodologies have been developed to make available precision agriculture, especially the high cost of its implantation and sampling. An interesting possibility is to define management zones, whose aim is  dividing the producing areas in smaller management zones that could be treated differently. So, they  could be used as a source of recommendation and analysis.. Thus, this trial used physical and chemical properties of soil and its yield, aiming at generating management zones to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was obtained by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite this, the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significant differences among the management zones.