Gulce Topal
Papers
1
Total Citations
3
H-Index
1
About
Gülce Topal is a rising researcher at the intersection of agricultural robotics and precision farming, with a focus on enabling autonomous systems to perceive and interact with complex field environments. Her most-cited work, "Detection and mapping of crop weeds and litter for agricultural robots" (2022), addresses a critical bottleneck in agricultural automation: the reliable identification of weeds and debris amidst crops. By developing computer vision and mapping algorithms tailored for robotic platforms, Topal’s research contributes to reducing reliance on manual labor and chemical herbicides, paving the way for more sustainable and efficient farming practices. Her work has already garnered early citations, reflecting its relevance to the growing field of agri-robotics. Beyond this flagship paper, Topal’s broader contributions span sensor integration, real-time decision-making, and field-tested robotic systems. As agricultural robotics continues to expand, her research offers foundational tools for autonomous weeding, crop monitoring, and precision agriculture—promising to transform how robots assist in labor-intensive tasks like harvesting and field surveillance.
Research Focus
Key Achievements
Top Papers
- 1Detection and mapping of crop weeds and litter for agricultural robots3 citations · 2022