Journal of Information Technology & Software Engineering
Open Access

Abstract

Smart Livestock Health and GPS Tracking Solution Powered by IoE Technology

Ebole Alpha Friday*, Ajani Akeem Olanrewaju and Khadijah Kubura Agbalaya

Livestock farming is an essential component of the agricultural sector, contributing significantly to the global economy and providing a source of livelihood for millions of farmers. However, managing livestock presents several challenges, particularly in ensuring the health and safety of the animals. Traditional methods of livestock management are often labour-intensive and inefficient, leading to issues such as undetected health problems, lost or stolen animals and overall decreased productivity. However, Fluctuations in body temperature were used to detect signs of fever or infection early, abnormalities in heart rate helped identify stress, fatigue or potential health issues, Changes in movement behavior, such as reduced activity or lameness, provided early signals of injury or illness. System design, data collection, experimental validation and analysis and metrics were employed as methodology for this research. Sensors were deployed on livestock to continuously monitor vital health parameters such as body temperature, heart rate and movement. GPS modules were used to track their location in real-time. Sensor data and GPS coordinates were transmitted to a cloud-based platform via IoE technology, where the information was processed and analysed. Data was collected over a defined period to assess the system's reliability and performance in real-world conditions, field tests were conducted to evaluate the system's accuracy in monitoring livestock health and detecting location. The study focused on resolving challenges such as early disease detection, prevention of livestock theft, and reducing manual labour involved in tracking and monitoring. The introduction of IoE technology significantly enhanced the detection and management of livestock health issues, such as early disease detection, automated alerts, location tracking, the performance of the system was analysed based on metrics like data accuracy, real-time response capability, system durability in various weather conditions and ease of use for farmers. Moreover, the new methods led to significant changes in various aspects of livestock management improved productivity, enhanced animal wellbeing, reduced farmer workload.

Published Date: 2025-04-16; Received Date: 2024-11-18