Metodología para el almacenamiento y visualización de datos masivos en invernadero basado en el internet de las cosas

The current technological advances have allowed the improvement of the efficiency in the processes of sowing in a greenhouse. In this research, an Internet of Things-based methodology has been developed for storing the environmental variables in a greenhouse, which contributes to the improvement of sowing production. First, it was modified the code of an Arduino plaque in order to send the data concerning environmental temperature and humidity, as well as the humidity of the ground. Then, the information is stored in a Non SQL MongoDB database, using NodeJS to connect them. Finally, the Tableau tool was used in order to connect the database and display the information in the cloud, through a Dashboard.