Ryan M. Moeller

Papers

Total Citations

H-Index

About

Ryan M. Moeller is a robotics researcher whose work sits at the intersection of precision agriculture and autonomous systems. His primary contributions lie in developing field-ready robotic platforms for crop health management, with a specific focus on the automated detection and removal of Potato Virus Y (PVY). In his highly cited 2020 paper (37 citations), Moeller demonstrated a fully integrated autonomous navigation system using RTK GPS and a Pixhawk controller, enabling a robot to reliably navigate to infected plants in real field conditions. His complementary work on chassis design (18 citations) employed genetic algorithms to optimize a rugged, four-wheel-drive platform capable of traversing the challenging terrain of potato fields—deep irrigation ruts and uneven soil—without compromising precision. Together, these contributions form a complete, end-to-end system for targeted, automated crop intervention. Moeller’s research is notable for bridging the gap between simulation and practical deployment, addressing both the hardware durability and the navigational accuracy required for commercial-scale agricultural robotics. His work has become a foundational reference for researchers developing autonomous weeding and disease removal systems in specialty crops.