Social Network Analysis on Grain Production in the Brazilian Scenario

Abstract

This article provides study of the 2012/2013 grain harvest of federal units of Brazil in relation to the following factors: planted areas, productivity, and production, which assist producers in agricultural planning. The research method used for data collection was the documentary and exploratory data analysis using the software Ucinet (R) for social networks. The findings indicate that the Midwest has the largest area planted in soybean per thousand/ha, demonstrating the opportunity for producers to develop new crops. In production in thousand/ton, the Midwest region also excelled in soybeans, showing the possibility for producers to seek new techniques for planting. The southern has the highest productivity of the rice grain per kg/ha, contributing to the producer having the best land use and resource optimization.