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@article{180520,
        author = {M Naveen and M Naveen},
        title = {Cattle detection using drone in agriculture},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1295-1296},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180520},
        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.},
        keywords = {},
        month = {June},
        }