Mohamed El-Ouati

Papers

Total Citations

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About

Mohamed El-Ouati is an emerging researcher at the intersection of precision agriculture and intelligent robotics, with a primary focus on real-time autonomous systems and edge-fog computing architectures. His most cited work, "Real-Time Monitoring and Active Control of Autonomous Agricultural Robot Trajectories Using an Edge-Fog Architecture" (2025), introduces a novel framework that offloads computationally intensive trajectory control from onboard robot processors to distributed fog nodes, enabling sub-second response times for dynamic field navigation. This contribution addresses a critical bottleneck in agricultural autonomy—the latency and reliability of real-time decision-making in unstructured environments. While his citation count is still growing, the work has already attracted attention for its practical implications in reducing crop damage and optimizing resource use during planting, weeding, and harvesting operations. El-Ouati’s research bridges the gap between theoretical edge computing models and deployable agricultural solutions, offering a scalable pathway for next-generation smart farming. As the field accelerates toward fully autonomous agriculture, his contributions are poised to influence both academic research and industrial applications in robotic fleet management and precision monitoring.