  The ability of companies to react to changes imposed by the market is related
to information acquisition and knowledge generation. Big data technologies,
crowdsourcing, and Online Social Network (OSN) are used for knowledge
generation. These technologies assumed a significant position in agribusiness.
This work investigates how social network analysis can promote agribusiness to
provide a basis for future applications and evaluations. We adopted a hybrid
systematic mapping to conduct the investigation. Two hundred twenty-three works
that propose solutions for agribusiness were found and categorized. Results
showed the most used techniques, OSNs, and revealed an increase in the number
of studies in this area. The information obtained indicates how social media
monitoring can complement traditional methods for decision-making on the
management and regulation of agricultural systems. However, agribusiness still
lacks more studies using data analysis tools on social networks. Based on our
results, we discuss some challenges and research directions.
