Aplicación de Internet de las cosas en el monitoreo de la producción de lombricomposta

Abstract

In this article we show the results of the application of an architecture based on Internet of things for the production of vermicompost through an interface that allows to monitor and collect temperature, humidity, and pH data through intelligent sensors that use the cloud computing service. The methodology used for the construction of the architecture was based on a search of the state of the art in open databases. For the implementation of the same, a pure experiment with a dependent variable and two independent ones was built. The results obtained by the measurements made during a period of four months, allowed to create grapHs where the constant temperature changes are observed in a range of 19 to 27 ° C, humidity in the range of 41% to 85% and the pH of 5 to 8.4 in the acid of the substrate. This information obtained in a ubiquitous way, helped the user to generate a weekly plan for irrigation, aeration, and mixing of the vermicompost, in order to reduce time, costs and human effort. It also helped maintain optimal environmental conditions for the reproduction of earthworms.