Desarrollo de un sistema de monitoreo para el análisis del estado de salud del ganado vacuno aplicando IOT

Abstract

This work develops a monitoring system based on IoT for monitoring the health status of cattle. This system, implemented in an intelligent collar, allows to record body temperature, geographic location and physical activity using advanced sensors, facilitating the early detection of anomalies and improving livestock management. Data transmission is done through LoRaWAN, guaranteeing connectivity in rural areas. The information collected is processed by a gateway, sent to the cloud through The Things Network (TTN) and displayed on a web platform accessible from mobile and desktop devices. The system has energy autonomy thanks to the integration of solar panels and rechargeable lithium batteries, ensuring its operation without the need for additional electrical infrastructure. The proposed solution is scalable and inexpensive, with the possibility of integrating additional sensors to monitor more physiological parameters. Its implementation represents an advance in the digitization of the agricultural sector, optimizing productivity and improving decision-making through real-time analysis of livestock behavior and health.