Cattle Health and Gestation Monitoring System to Improve Dairy Production
This work tackles important problems in dairy farming by offering a state-of-the-art method for monitoring cattle health and forecasting gestation times. Traditional monitoring methods can be stressful for the animals and are frequently time-consuming. Utilizing wearable sensors, buck converters, and NodeMCU, the system leverages Internet of Things technology (IoT) to collect vital health information, such as heart rate, body temperature, and oxygen saturation (S<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">P</inf>O<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf>). Early findings highlight the system's efficacy and efficiency while highlighting its potential. By incorporating innovation, this solution aims to enhance animal welfare, promote sustainable agriculture, and transform cattle management. In addition to opening the door for further developments in livestock care, it seeks to create a comprehensive ecosystem that benefits farmers, consumers, and the environment.
Authors
- P. Srimathi (ORCID: https://orcid.org/0000-0003-4432-6160)
- Hema Shree R
- G Piruthiviraj
- Shivappriya SN
Publication Details
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/icaeca63854.2025.11012405
- Primary Topic
- Information Retrieval and Data Mining
- Type
- article
- Field-Weighted Citation Impact
- 0.00