IoT-Enabled Unmanned Aerial Vehicle Monitoring System for Precision Agriculture: Integrating IEEE 802.15.4 based HyLaR-OF-M Routing Algorithm

This research paper presents an approach to enhance efficiency in agriculture by combining advanced routing algorithms with Unmanned Aerial Vehicle (UAV) technology capabilities. By positioning the sensor nodes throughout the agricultural field, crucial factors like soil moisture, temperature, and nutrient levels are continuously monitored. The key innovation here lies in promoting a routing algorithm adapted from the Enhanced Latency Objective Function (OF) designed initially for Low Power and Lossy Networks (LLNs), cleverly repurposed for the specific needs of modern precision agriculture. The system considers factors like latency, connection quality, remaining energy, and congestion to optimize data routing and establish strong and dependable communication channels for tracking and alert purposes. The paper explains how this integrated system creates, implements, and evaluates the potential to enhance production methods and transform crop management practices. The practicality and effectiveness of this approach are supported by results that demonstrate its practicality and lead to reduced latency levels—a significant step forward in advancing farming techniques for today’s needs.