CattleSense is an innovative application of Internet of Things (IoT) technology for the comprehensive monitoring and management of cattle well-being. This research paper outlines the design and implementation of a sophisticated system using a Raspberry Pi Module 4B, RFID Card Reader, Electret Arduino Microphone Module, DHT11 Sensor, Arduino UNO, Neo-6M GPS Sensor, and Heartbeat Sensor. The system aims to provide real-time surveillance of the environment in which Cows are present and individual Cow parameters such as location, milking frequency, and heartbeat fluctuations. The primary objective is to simplify managing the Cattle in the shed, ensuring that the Cattle are healthy and safe.
@article{arxiv.2509.12617,
title = {CattleSense -- A Multisensory Approach to Optimize Cattle Well-Being},
author = {Srijesh Pillai and M. I. Jawid Nazir},
journal= {arXiv preprint arXiv:2509.12617},
year = {2025}
}
Comments
5 pages, 9 figures. Author's accepted manuscript of a paper published in the 2024 ASET Conference. The final version is available at: https://doi.org/10.1109/ASET60340.2024.10708764