Waqar Qureshi
Papers
2
Total Citations
24
H-Index
2
About
Dr. Waqar Qureshi is a rising leader at the intersection of artificial intelligence, computer vision, and precision agriculture. His research focuses on developing intelligent, data-driven systems to solve critical challenges in sustainable crop management and controlled-environment farming. Dr. Qureshi’s most cited work, “Applications, Trends, and Challenges of Precision Weed Control Technologies Based on Deep Learning and Machine Vision” (2025, 15 citations), provides a comprehensive review of how advanced deep learning architectures and machine vision are revolutionizing automated vegetation management—analyzing system design, integration, and real-world deployment. In a second highly cited study (9 citations), he demonstrates practical innovation by engineering an IoT-driven delta robot that uses machine vision to stimulate the growth of aeroponically cultivated mulberry branch cuttings. This work exemplifies his ability to merge robotics, sensor networks, and computer vision into functional agricultural tools. By systematically bridging the gap between cutting-edge AI and on-farm application, Dr. Qureshi is establishing himself as a key contributor to the next generation of smart, sustainable farming technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2