Jong Dae Park
Papers
1
Total Citations
5
H-Index
1
About
Jong Dae Park is a leading researcher in agricultural robotics and electric vehicle systems, with a primary focus on precision control and energy-efficient automation for off-road machinery. His most-cited work, "Real-time axle-torque prediction of agricultural electric tractors using a Kalman-algorithm-integrated predictive motor-speed controller" (2025), has already garnered 5 citations, reflecting its immediate relevance to the emerging field of electric farming equipment. Park’s major contribution lies in developing advanced sensor-fusion and predictive control algorithms that enable real-time torque estimation without direct measurement, significantly improving the performance and reliability of electric tractors in variable field conditions. This work bridges the gap between theoretical control engineering and practical agricultural applications, offering scalable solutions for autonomous and semi-autonomous farming. His research has direct implications for reducing energy consumption and enhancing traction control in electric vehicles, positioning him as a key innovator in sustainable agriculture technology. Park’s achievements include integrating Kalman filtering with model predictive control—a novel approach that sets a benchmark for future studies in agricultural electrification. His ongoing work continues to influence the design of intelligent, low-emission farming machinery.
Research Focus
Key Achievements
Top Papers
- 1