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About
Mohammad Kassir is a researcher at the forefront of precision agriculture and autonomous systems, with a focus on integrating edge-fog computing architectures for real-time robotic control. 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 enables low-latency, decentralized decision-making for agricultural robots, addressing critical challenges in field autonomy and data processing. By leveraging edge-fog computing, Kassir’s approach enhances trajectory accuracy and operational efficiency, reducing reliance on cloud infrastructure and improving responsiveness in dynamic environments. Though early in its citation impact, this work represents a significant step toward scalable, intelligent farming solutions. Kassir’s contributions lie at the intersection of robotics, IoT, and agricultural engineering, offering practical pathways for deploying autonomous systems in real-world settings. His research holds promise for reducing labor costs, optimizing resource use, and increasing crop yields, positioning him as an emerging voice in sustainable agri-tech innovation.
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