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Animalia: An IoT-based Temperature Monitoring System for Piggery Farming
Subject area: Science,Engineering and Technology · Area of research: Wireless Sensor Networks for Smart Farming
DOI: 10.64388/IREV9I3-1710768-3996
Abstract
The constant monitoring of pigs' medical conditions is essential for ensuring their health and productivity. Effective monitoring allows for early disease detection, outbreak prevention, and optimal living conditions. IoT devices are among the technological solutions considered in prior works to improve real-time monitoring through advanced sensors. This study introduces Animalia, an IoT-based temperature monitoring system for piggery farming that integrates an ESP32 board, stainless steel temperature sensors, a charger module, and a lithium battery. For long-term temperature monitoring, Animalia provides vital real-time data to inform pig health management. The sensors send temperature data to the ESP32 board, which uploads it to the cloud for analysis. A mobile-friendly interface was designed to allow farmers to monitor and access temperature data seamlessly. The system is built to withstand the harsh environment of pig farms and operate continuously. The effectiveness of the system was evaluated through user feedback using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Results show that 81.8% of respondents agreed that Animalia enhances health management and monitoring efficiency, while 81.9% believe it reduces disease risks. Social influence was also significant, with 81.9% indicating that recommendations from other farmers impacted adoption. Furthermore, 72.8% trusted the system's compliance with data security standards. These results demonstrate that Animalia significantly contributes to piggery farming by providing a reliable, IoT-based solution for temperature monitoring.
Keywords
Internet of Things, IoT-based temperature monitoring, Piggery Farming, Unified Theory of Acceptance and Use of Technology (UTAUT)
References
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How to cite this paper
@article{1710768,
author = {Marvellous Oluwaferanmi Adeoye, Oluwasefunmi 'Tale Arogundade, Taiwo Olaleye},
title = {Animalia: An IoT-based Temperature Monitoring System for Piggery Farming},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {3},
pages = {1136-1141},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1710768.pdf},
abstract = {The constant monitoring of pigs' medical conditions is essential for ensuring their health and productivity. Effective monitoring allows for early disease detection, outbreak prevention, and optimal living conditions. IoT devices are among the technological solutions considered in prior works to improve real-time monitoring through advanced sensors. This study introduces Animalia, an IoT-based temperature monitoring system for piggery farming that integrates an ESP32 board, stainless steel temperature sensors, a charger module, and a lithium battery. For long-term temperature monitoring, Animalia provides vital real-time data to inform pig health management. The sensors send temperature data to the ESP32 board, which uploads it to the cloud for analysis. A mobile-friendly interface was designed to allow farmers to monitor and access temperature data seamlessly. The system is built to withstand the harsh environment of pig farms and operate continuously. The effectiveness of the system was evaluated through user feedback using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Results show that 81.8% of respondents agreed that Animalia enhances health management and monitoring efficiency, while 81.9% believe it reduces disease risks. Social influence was also significant, with 81.9% indicating that recommendations from other farmers impacted adoption. Furthermore, 72.8% trusted the system's compliance with data security standards. These results demonstrate that Animalia significantly contributes to piggery farming by providing a reliable, IoT-based solution for temperature monitoring.},
keywords = {Internet of Things, IoT-based temperature monitoring, Piggery Farming, Unified Theory of Acceptance and Use of Technology (UTAUT)},
month = {September},
doi = {https://doi.org/10.64388/IREV9I3-1710768-3996}
}