Papers
6
Total Citations
72
H-Index
4
About
Sohel Anwar is a pioneering researcher at the intersection of agricultural robotics, computer vision, and surgical automation. His primary contributions lie in developing intelligent autonomous systems for precision agriculture, with a focus on GPS-guided navigation, real-time crop row detection, and weed identification using multi-sensor fusion. His most cited work, "GPS Guided Autonomous Navigation of a Small Agricultural Robot with Automated Fertilizing System" (48 citations), demonstrates a complete robotic platform capable of autonomous field navigation and targeted herbicide spraying. Anwar has advanced computer vision methodologies for agricultural robots, creating clustering-based algorithms that robustly detect both straight and curved crop rows under challenging field conditions—a critical step toward fully autonomous farming. His recent work on decision-level multi-sensor fusion for weed detection in corn production addresses the limitations of single-camera CNN classification, offering environmentally sustainable solutions. Beyond agriculture, Anwar has contributed to surgical robotics through "SeeBelow," a system that reconstructs sub-dermal tumors using robotic palpation and tactile exploration during minimally invasive surgery. His research portfolio, spanning from 2018 to 2025, reflects a commitment to solving real-world challenges through innovative robotic perception and control systems.
Research Focus
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Top Papers
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