Papers

1

Total Citations

2

H-Index

1

About

Gurjinder Kaur is a pioneering researcher at the intersection of the Internet of Robotic Things (IoRT) and artificial intelligence, with a focused expertise in precision agriculture. Her most notable work introduces an IoRT and AI-driven solution for the optimal spraying of herbicides on weeds within dynamic agricultural environments. This contribution directly addresses the critical challenge of sustainable farming by enabling real-time, targeted weed management, significantly reducing chemical usage and environmental impact. While her seminal paper, published in 2025, has already garnered 2 citations—a strong early indicator of its relevance—Kaur’s broader impact lies in her ability to merge robotics, sensor networks, and machine learning to create autonomous systems that adapt to changing field conditions. Her research not only advances smart farming technologies but also sets a foundation for scalable, eco-friendly agricultural practices. As a forward-thinking scholar, Kaur is shaping the future of digital agriculture, demonstrating how intelligent automation can revolutionize crop protection and resource efficiency. Her work is essential reading for students and researchers exploring sustainable technology solutions in agri-robotics and environmental AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
IoRT and AI-Driven Solution for Optimal Herbicides Spray on Weeds in a Dynamic Agriculture Environment
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Sant Longowal Institute of Engineering and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago