Mouad Abouqateb

Papers

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About

Mouad Abouqateb is a researcher at the forefront of smart farming and agricultural robotics, with a focus on integrating the Internet of Things (IoT) into farm management. His most cited work, "Towards an Architecture for Agricultural Autonomous Robots’ Scheduling" (2021), lays a foundational framework for coordinating autonomous robots within a Farm Management Information System. This paper, garnering 4 citations, tackles the critical challenge of scheduling robot tasks while managing sensor data across multiple IoT layers—from capture to processing. Abouqateb’s contributions are pivotal in bridging the gap between theoretical IoT architectures and practical, scalable solutions for precision agriculture. By addressing the interlinked scopes of robot programming, task scheduling, and data management, his work supports the development of more efficient, autonomous farming systems. This research is particularly notable for its holistic approach, offering a blueprint that can adapt to diverse agricultural contexts. As the field of smart agriculture expands, Abouqateb’s early insights continue to influence how researchers and practitioners design robust, data-driven systems for autonomous farm operations, making his work a key reference for those exploring the intersection of robotics, IoT, and sustainable farming.