Drone Swarm Coordination Using IoT for Large-Scale Agricultural Monitoring

Authors- Assistant Professor Dr. Pankaj Malik, Shantanu Tiwari, Kritika tomar, Kaustubh Kalambkar, Dhanashri Yeole

Abstract-The increasing demand for sustainable and efficient agricultural practices has led to the integration of advanced technologies such as drones and IoT in precision agriculture. This paper presents a novel framework for Drone Swarm Coordination enabled by IoT for large-scale agricultural monitoring. The proposed system leverages IoT networks for real-time communication, data aggregation, and task synchronization among drones, ensuring seamless coordination and enhanced monitoring efficiency. Key innovations include adaptive path-planning algorithms to optimize field coverage, energy-efficient operation strategies to extend mission durations, and robust communication protocols for real-time data exchange. Simulated and field-tested results demonstrate the system’s potential to improve crop health assessment, pest detection, and soil condition analysis, providing actionable insights for farmers. By addressing challenges such as scalability, communication latency, and resource constraints, this study lays the groundwork for a transformative approach to large-scale agricultural monitoring using drone swarms and IoT.

DOI: /10.61463/ijset.vol.12.issue6.365