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® 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.