Desenvolvimento de uma plataforma IoT sob a arquitetura de computação em névoa para agricultura de precisão.

Abstract

In the last five decades, Brazil has become one of the most important producers and exporters of food globally, contributing to the feeding of approximately 1.5 billion people worldwide. This scenario contributes to the country's growth by increasing income and job creation, boosting the participation of agriculture in the Brazilian Gross Domestic Product (GDP). Brazil's economic dependence on agribusiness requires investments and research to increase productivity and profitability. In recent years, technological developments have allowed the production of electronic components such as sensors and microcontrollers at an affordable cost, with economic viability for their use on large and small scales. With sensors distributed throughout the property, it is possible to monitor variables such as soil, climate, and the crop itself, allowing the remote monitoring of the plant's various stages. Considering that climatic factors directly influence productivity, this project seeks to use the technological resources available to develop a data communication, storage, and pre-processing platform using a fog computing architecture implemented in a Raspberry Pi 3 B+ as the application's MQTT Broker, proving to be an affordable solution for IoT applications for precision agriculture to maintain data availability and integrity.