Detection and Prevention of Termite Infestation Using IoT through Machine Learning

Soumya Madduru, Bindu Devarakonda, Bhumika Bhumireddy, Bhanuprakash Boya, Purushotham Dandu

2025

Abstract

This project outlines an innovative system designed for the detection and prevention of termite infestations in furniture and walls, utilizing IoT and machine learning technologies. At the core of the system is a Raspberry Pi microcontroller, which manages and processes data from various environmental sensors. The system includes a DHT11 sensor to monitor temperature and humidity, and a soil moisture sensor to detect moisture levels both of which are critical indicators of termite activity. Additionally, an ADC module is incorporated to ensure accurate data acquisition from analog sensors, enhancing the reliability of the information being processed. The data gathered by the sensors is analyzed using a Random Forest machine learning algorithm, which identifies patterns that may suggest the presence of termites. When abnormal environmental conditions are detected, the system triggers alerts through a GSM module, sending notifications to users, while a buzzer provides a local warning. Real-time data is also displayed on an LCD, offering immediate access to critical information. By combining IoT connectivity with advanced machine learning, this system enables proactive monitoring and prevention of termite infestations, ultimately helping to protect furniture and structures from damage and minimizing the risk of costly repairs.

Paper Citation

in Harvard Style

Madduru S., Devarakonda B., Bhumireddy B., Boya B. and Dandu P. (2025). Detection and Prevention of Termite Infestation Using IoT through Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 161-167. DOI: 10.5220/0013924400004919

in Bibtex Style

@conference{icrdicct`2525,
author={Soumya Madduru and Bindu Devarakonda and Bhumika Bhumireddy and Bhanuprakash Boya and Purushotham Dandu},
title={Detection and Prevention of Termite Infestation Using IoT through Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={161-167},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013924400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Detection and Prevention of Termite Infestation Using IoT through Machine Learning
SN - 978-989-758-777-1
AU - Madduru S.
AU - Devarakonda B.
AU - Bhumireddy B.
AU - Boya B.
AU - Dandu P.
PY - 2025
SP - 161
EP - 167
DO - 10.5220/0013924400004919
PB - SciTePress