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About

Khalid El Amraoui is a rising figure in digital agriculture, specializing in the integration of the Internet of Things (IoT), artificial intelligence (AI), and unmanned aerial vehicles (UAVs) to revolutionize farming practices. His most impactful work, the comprehensive review "Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture" (2024, 48 citations), has quickly become a foundational resource, synthesizing the state of the art in smart farming technologies. El Amraoui’s research is distinguished by its focus on practical, real-time deployment, as demonstrated in his study on embedding a strawberry detection model into a pesticide-spraying mobile robot for greenhouse operation (2024, 8 citations). This work directly addresses the challenge of enhancing farming efficiency through autonomous perception. Most recently, he has advanced the field of agricultural robotics with a novel Top-view Transformation Model (TTM) for vision-based navigation (2025, 3 citations), which eliminates perspective distortions to enable more reliable robot guidance. By bridging the gap between theoretical AI models and tangible agricultural applications, El Amraoui is contributing to a future of precision, data-driven farming, with his early work already garnering attention for its practical impact.