Embedded System Design and Implementation for a Heavy-lift Agricultural UAV

The increasing demand for automation in agriculture has driven the development of unmanned aerial vehicles (UAVs) capable of performing complex tasks such as precision spraying, seed dispersal, and crop monitoring. However, the design of embedded systems for heavy-lift agricultural UAVs presents significant challenges, including power efficiency, flight stability, payload management, and real-time data processing. This paper proposes a specialized embedded system tailored for a heavy-lift agricultural UAV, integrating advanced microcontrollers, sensor fusion techniques, and adaptive flight control algorithms to enhance operational efficiency. The system incorporates optimized power management, real-time navigation, and wireless communication frameworks to ensure reliable performance in diverse agricultural environments. Experimental testing and simulations validate the embedded system’s effectiveness in maintaining flight stability, optimizing energy consumption, and handling heavy payloads. The results demonstrate significant improvements in UAV endurance, control accuracy, and autonomous operation, making the proposed system a promising solution for enhancing large-scale agricultural productivity.