IoT-Based Livestock Health Monitoring System Using ESP32 and Temperature Sensors
Author : Sahil Salunkhe, Amey Raghuvanshi, Sahil Bora and Purva Jagtap
Abstract :
In recent years, the integration of Internet of Things (IoT) technologies into agriculture has opened new avenues for intelligent livestock management. This paper presents the design and implementation of a real-time livestock health monitoring system that leverages IoT devices such as the ESP32 microcontroller and DS18B20 temperature sensor. The system continuously monitors the body temperature of animals and transmits the data wirelessly to a cloud-based platform for visualization and analysis. By establishing predefined thresholds, the system can detect potential signs of illness early and alert farmers via mobile or web interfaces. The proposed solution is low-cost, scalable, and energy-efficient, making it particularly suitable for rural and remote farming environments. This research aims to enhance animal welfare, reduce veterinary costs, and improve productivity through timely interventions, thereby contributing to the advancement of smart agriculture and precision livestock farming.
Keywords :
IoT, ESP32, DS18B20, Real-Time Health Monitoring, Smart Farming, Temperature Sensor, Animal Health.
