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Smart Collars for Sheep: Leveraging Machine Learning for Improved Pasture Management

Authors:
Gonçalo Soares
Paulo Pedreiras
William Xavier
Pedro Gonçalves

Keywords: ruminant monitoring; grazing behavior; floristic analysis.

Abstract:
Effective control of animal feed and pasture management are increasingly important factors for animal health and farm sustainability. Recent technological advances in animal monitoring devices offer a significant potential for enhancing these practices. This paper presents the development of an innovative animal monitoring system for sheep, designed to capture images of pastures while minimizing redundant data collection. By integrating Machine Learning (ML)-based animal posture detection, the system autonomously triggers image acquisition only during relevant feeding activities. Additionally, the system automatically uploads the captured images for processing, reducing the need for manual intervention. Preliminary results demonstrate the system's feasibility and improved efficiency compared to state-of-the-art approaches.

Pages: 1 to 4

Copyright: Copyright (c) IARIA, 2024

Publication date: November 17, 2024

Published in: conference

ISBN: 978-1-68558-323-1

Location: Valencia, Spain

Dates: from November 17, 2024 to November 21, 2024