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Engineering IoT systems in the convergence between agronomic and computer sciences

Abstract:

The association between agronomy and computer engineering can facilitate a collaborative scenario between teachers and groups of students from different disciplines towards investigating smart technologies to track objects, plants, or soils. Nonetheless, the combination of these disciplines is rarely integrated in curricula. This work addresses this challenge presenting a case study in the context of Higher Education studies. Therefore, a project-based learning approach is presented in which students from both disciplines contribute to create and optimize IoT systems designed to track and monitor plants, soil, and environmental variables towards promoting environmental awareness in the future engineers. This research suggests at integrating these disciplines in a jigsaw classroom using specific sustainable development goals as a mediator. The presented methodology leads to scaffold multidisciplinary learning initiatives combining agronomic and computer sciences by engineering IoT systems.