Um mapeamento de técnicas de simulação envolvendo redes de sensores sem fio para problemas de agricultura e uma instanciação para uma estratégia de ensino em problemas de aquaponia

Abstract

The advancement of wireless sensor networks (WSN) technologies allows monitoring environments in a software-assisted manner. Among the various employment contexts, smart agriculture plays an important role in society, thus a potential for carrying out applied studies. However, the costs associated with equipment in scenarios involving multiple sensors make it difficult to exercise problem-based learning. Studies aimed at computational simulations have the potential to explore the topic without such costs, therefore, a potential for exploration in problem-based learning (PBL). This work aims to develop a teaching strategy, whose target audience are those interested in conducting and executing practical studies of WSN simulations focused on agriculture in courses taught using the PBL methodology.