Paper Details
Virtual Fencing Using Yolo Frame Work in an Agricultural Field
Authors
Ms. Nilambika, Ms. Bhumika, Ms. Nikita, Ms. Veena, Mrs. Shruti
Abstract
Precision agriculture has revolutionized traditional farming methods by integrating advanced technologies to enhance efficiency and productivity. One such emerging technology is virtual fencing, which leverages computer vision and deep learning to monitor and control livestock movement without physical barriers. This paper explores the application of the YOLO (You Only Look Once) framework for real-time object detection to implement virtual fencing in agricultural fields. Virtual fencing using the YOLO framework in agriculture is an advanced approach to monitoring and controlling livestock movements, detecting intrusions, and safeguarding crops using real-time object detection. The YOLO framework, known for its speed and accuracy, can efficiently process video feeds from cameras placed around the farm to create a virtual fence, eliminating the need for physical barriers. The study demonstrates how YOLO can be used to identify and track livestock, detect boundary breaches, and issue automated alerts, reducing dependency on traditional fencing while ensuring animal safety and crop protection.
Keywords
-
Citation
Virtual Fencing Using Yolo Frame Work in an Agricultural Field. Ms. Nilambika, Ms. Bhumika, Ms. Nikita, Ms. Veena, Mrs. Shruti. 2024. IJIRCT, Volume 10, Issue 2. Pages 1-5. https://www.ijirct.org/viewPaper.php?paperId=2502057