Desenvolvimento de um sistema de monitoramento de saúde do gado bovino com recurso á internet das coisas

Abstract

Livestock farming is an important activity for Mozambique's economy, contributing to the generation of employment and income for the majority of the rural population. Our country offers potential for meat and milk production, however, there are some challenges in developing this activity, one of which is related to diseases that are one of the causes of production losses. In this context, the overall objective of this work is to develop a cattle health monitoring system using the Internet of Things. To design the work, exploratory research was carried out, combined with a bibliographic review of the central themes related to the topic. Several interviews were conducted with cattle breeders from the rural company OGA and other independent breeders. A functional prototype was developed using the ESP32 development board and the MLX90614 and MAX30102 sensors. For the development of the mobile application, software engineering principles were used, and the Kanban methodology was adopted. First, individual tests were conducted for each sensor, and all were able to capture the data correctly. During the integration process, a communication problem was found between the two sensors, and when separating the I2C buses, tests revealed that the MAX30102 was still unable to capture data when connected to the MLX90614, highlighting a technical issue that requires further analysis. The research achieved its objectives by demonstrating that technologies such as IoT can be an essential ally in livestock farming, bringing benefits both to farmers and to the sustainability of the sector.