Supakorn Wongsuk
Papers
1
Total Citations
2
H-Index
1
About
Supakorn Wongsuk is an emerging researcher in agricultural robotics and precision farming, with a focus on integrating low-altitude remote sensing and deep learning to enhance autonomous navigation systems. His most cited work, "Low-altitude remote sensing and deep learning-based canopy detection method for the navigation of orchard unmanned ground vehicles" (2025), introduces a novel approach that combines aerial imagery from drones with convolutional neural networks to detect tree canopies in real time, enabling unmanned ground vehicles to navigate complex orchard environments with improved accuracy and efficiency. This contribution addresses critical challenges in agricultural automation, such as obstacle avoidance and path planning under variable canopy structures. With 2 citations already, his work is gaining traction among researchers in autonomous systems and smart agriculture. Wongsuk’s research bridges the gap between remote sensing and field robotics, offering practical solutions for sustainable farming. His achievements highlight a promising trajectory in developing intelligent, data-driven tools for modern agriculture, making him a notable figure in the advancement of orchard management technologies.
Research Focus
Key Achievements
Top Papers
- 1