Iqra Hassan Syeda

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About

Iqra Hassan Syeda is a prominent researcher at the intersection of artificial intelligence, image processing, and unmanned aerial vehicles (UAVs), with a primary focus on transforming agriculture through smart technologies. Her most-cited work, "Advance control strategies using image processing, UAV and AI in agriculture: a review" (2021, 26 citations), provides a comprehensive overview of how modern control systems can drive the shift from traditional to precision agriculture. In this review, Syeda systematically identifies and evaluates key technologies—including AI-driven image analysis and UAV-based monitoring—that enable real-time crop health assessment, pest detection, and resource optimization. Her contribution lies in synthesizing disparate technological advances into a cohesive framework, offering researchers and practitioners a clear roadmap for developing intelligent, automated agricultural systems. By highlighting the potential of these integrated approaches, Syeda has helped lay the groundwork for more sustainable and efficient farming practices. Her work is particularly valuable for students and researchers exploring the convergence of robotics, computer vision, and AI in agri-tech, and it underscores her role as a key voice in the digital transformation of agriculture.