Desenvolvendo um sistema IoT usando Django e um broker MQTT para realizar automação na agricultura

Abstract

The advancement of technology has impacted several areas, including agriculture, which needs to modernize to meet the growing worldwide demand for food. Population increase imposes challenges such as pest control, efficient use of natural resources (such as water and fertilizers) and climate monitoring. Given this scenario, the Internet of Things (IoT) emerges as a promising solution to optimize agricultural processes. This work proposes the continuity of the development of the AgroInfo System, improving Backend to enable automation and integration of new features. The current system has a user registration system, properties, planting, and viewing data received by the sensor transmitted through a broker system. This work will allow us to receive data, send commands to actuators such as valves or pumps which enables the automation of agricultural properties, as well as improving scalability, enabling the registration of sensor for each planting and improving data management. The system uses sensors embedded platforms to collect data from plantations and actuators who receive remote commands, which are made available via Broker MQTT, allowing more efficient and practical decisions based on the collected data. For implementation, Model, Template, View (MVT) (Model-Template-View) architecture, which organizes the application structure, and used UML diagrams, such as use cases, sequence and classes, to represent users interaction and system flow is adopted. Development uses Django and Django Rest Framework frameworks. As a result, preliminary tests have been confirming bidirectional viability via MQTT for automation, affirming the data reading capacity and sending effective commands, it is expected to make available a tool that can assist in the modernization of agriculture in the Jaguaribe Valley, providing greater efficiency and sustainability in agricultural management.