Papers
3
Total Citations
357
H-Index
3
About
Alwin Poulose is a researcher whose work bridges precision agriculture and autonomous systems, with a particular focus on computer vision, deep learning-based object detection, and intelligent vehicle technologies. He is best known for his comprehensive bibliometric and systematic literature review of the YOLO (You Only Look Once) algorithm in agricultural applications, a work that has garnered an impressive 326 citations since its publication in 2024, underscoring its rapid and widespread influence in the research community. This contribution has established Poulose as a key reference point for scholars exploring real-time object detection in farming contexts, where YOLO's speed and accuracy offer transformative potential for crop monitoring, pest detection, and yield estimation. Beyond agriculture, Poulose has made meaningful strides in autonomous vehicle research, contributing to point cloud map generation and LiDAR-based localization systems — technologies critical to the safe navigation of self-driving vehicles in complex urban environments. His ability to connect cutting-edge machine learning methodologies with real-world engineering challenges across diverse domains reflects a versatile and forward-thinking research vision. Students and researchers working at the intersection of AI, robotics, and smart agriculture will find his body of work both foundational and highly relevant.
Research Focus
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Top Papers
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