AURORA: An Intelligent Plant Monitoring System for Greenhouse Deployment: um sistema inteligente de monitoramento de plantas para implantação em estufa

Bernardo  Ternus de Abreu; Francisco Matheus Pereira de Castro; Matheus Gonzaga Leizer

doi:10.36704/25256041/reis.v8i11.7411

Authors

Bernardo Ternus de Abreu Universidade do Vale do Rio dos Sinos – UNISINOS https://orcid.org/0000-0003-4081-9590
Francisco Matheus Pereira de Castro Universidade do Vale do Rio dos Sinos – UNISINOS
Matheus Gonzaga Leizer Universidade do Vale do Rio dos Sinos – UNISINOS

DOI:

https://doi.org/10.36704/25256041/reis.v8i11.7411

Keywords:

Technology, Monitoring, Agriculture, Data

Abstract

This article presents a low-cost plant monitoring technology to assist in plants irrigation according
to physiological demands. The project was conceived as a smart greenhouse capable of reporting on soil humidity, light and ambient temperature and presents principles of data-based agriculture. The methodology was based on engineering methods combined with design notions to adapt the technology to specific target audiences in a future stage of the project. Designed for small properties, the low-cost technological solution is an open technology that seeks to solve small farmers' pain regarding wasted resources in the field. The results are from isolated stages of the project, and point to correct data collection, processing using a microcontroller and sending the data for visualization on a dashboard. Future possibilities include a mathematical model based on the application of a
differential equation to optimize the system, as well as building an application and carrying out
integrative tests with tablets and other devices in a real production context.

Author Biographies

Bernardo Ternus de Abreu, Universidade do Vale do Rio dos Sinos – UNISINOS

Graduando em Engenharia Biomédica pela Universidade do Vale do Rio dos Sinos – UNISINOS. Também é
Graduado e Mestre em História pela UNISINOS, Brasil.

Francisco Matheus Pereira de Castro, Universidade do Vale do Rio dos Sinos – UNISINOS

Graduando em Engenharia Biomédica pela Universidade do Vale do Rio dos Sinos – UNISINOS

Matheus Gonzaga Leizer, Universidade do Vale do Rio dos Sinos – UNISINOS

Graduando em Engenharia Eletrônica pela Universidade do Vale do Rio dos Sinos – UNISINOS

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