Awais Adnan

Institute of Management Sciences Peshawar, High Institute for Management Sciences

Papers

Total Citations

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About

Awais Adnan’s research bridges computer vision and precision agriculture, with a focus on real-time weed recognition and ego-motion estimation. His most cited work, "Ego-motion estimation concepts, algorithms and challenges: an overview" (2016, 13 citations), provides a comprehensive survey of techniques for estimating camera movement—a foundational topic in robotics and autonomous systems. Earlier, Adnan pioneered machine vision for agricultural automation. In "Edge based Real-Time Weed Recognition System for Selective Herbicides" (2008, 10 citations), he developed a system that uses shape, color, and texture features to identify weeds in real time, enabling targeted herbicide application. This work was extended in "A Real-Time Specific Weed Recognition System Using Statistical Methods" (2007, 6 citations) and "A Real-Time Specific Weed Recognition System by Measuring Weeds Density through Mask Operation" (2008, 3 citations), where he introduced density-based classification and mask operations to improve accuracy. Adnan’s contributions are notable for their practical impact on sustainable farming, reducing chemical usage through precise weed control. His research demonstrates a clear trajectory from foundational survey work to applied, real-time systems, making him a key figure in agricultural robotics and computer vision.