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Cattle detection using drone in agriculture

  • Unique Paper ID: 180520
  • Volume: 12
  • Issue: 1
  • PageNo: 1295-1296
  • Abstract:
  • The integration of Unmanned Aerial Vehicles (UAVs) in agriculture has significantly transformed traditional farming practices by enabling improved surveillance, reducing labor dependency, and enhancing decision-making capabilities. This paper presents the design and development of a quadcopter drone system for real-time farmland monitoring, with a specific focus on detecting cattle intrusions and unauthorized human presence. The proposed system employs a manually operated drone equipped with a First Person View (FPV) camera and a computer vision algorithm developed in Python for real-time object detection. The implementation demonstrates the feasibility of UAV-based surveillance in rural agricultural environments, offering a cost-effective and scalable solution for precision farming and farm security.
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  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 1295-1296

Cattle detection using drone in agriculture

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