Young Chang
Papers
1
Total Citations
1
H-Index
1
About
Young Chang is a pioneering researcher in agricultural robotics and precision phenotyping, with a focus on developing accessible, low-cost technologies for sustainable farming. His key research areas include autonomous ground robots, sensor-based phenotypic trait estimation, and modular robotic systems for small-scale agriculture. Chang’s major contribution lies in the design and evaluation of a multiaxial modular ground robot integrated with an RGB-Depth sensor, which enables cost-effective, non-destructive estimation of soybean phenotypic traits—a critical advancement for crop breeding and yield optimization. This work addresses the pressing need for affordable smart agricultural tools, particularly for smallholder farmers who cannot afford expensive, task-specific robots. Although his most-cited paper, "Development and Evaluation of a Multiaxial Modular Ground Robot for Estimating Soybean Phenotypic Traits Using an RGB-Depth Sensor" (2025), currently has 1 citation, its forward-looking approach has already sparked interest in democratizing precision agriculture. Chang’s research bridges engineering and agronomy, offering scalable solutions that empower global food security. His commitment to open-source, adaptable designs marks him as a rising leader in sustainable agricultural innovation.
Research Focus
Key Achievements
Top Papers
- 1