GRENZE International Journal of Engineering and Technology
Vol. 12
(2026), Issue 1
Smart Herd: IoT-Driven Insights into Cattle Activity
Authors
Pratham Kumbhare, Balaji Khankre, D.T. Salunke, P.M. Tekade, Hanumant Jadhav
Abstract
Keeping animals healthy and well cared for is crucial for cattle farms and for producing milk in a sustainable way. But on large farms, it's tough to keep an eye on every animal every day. Farm workers often don't have the time to closely monitor each animal, which makes it hard to spot health issues early. The objective is to analyze cattle activity using IoT to enhance livestock management practices and optimize farming operations. It continuously monitors the health status of cattle by collecting physiological parameters such as heart rate, rumination, body temperature, GPS. The data is collected from various sensors and the data is being uploaded to a Think Speak server or User Interface (UI). After applying AI ML model on the real-time dataset, it will generate patterns and gain insights and hence if there's an issue, it'll generate an alert message on the user interface side. This product provides farmers with a cost effective and efficient solution for monitoring the health of their cattle.
Pages:
2915 - 2919