Xiaomin Jiao
Papers
1
Total Citations
51
H-Index
1
About
Xiaomin Jiao is a leading researcher in agricultural engineering and precision phenotyping, with a primary focus on developing high-throughput proximal ground crop phenotyping systems. Her most cited work, a comprehensive review published in 2024, has already garnered 51 citations, reflecting its immediate impact on the field. Jiao’s major contribution lies in synthesizing and advancing the use of ground-based sensing technologies—such as LiDAR, multispectral imaging, and thermal cameras—to non-destructively assess crop traits like biomass, canopy structure, and water stress in real time. This work bridges the gap between traditional field scouting and remote sensing, enabling faster, more accurate plant breeding and crop management decisions. Her research is instrumental in addressing global food security challenges by accelerating the selection of resilient, high-yielding crop varieties. Jiao’s achievements include establishing scalable phenotyping protocols that reduce labor and data processing time, making these technologies accessible to both research institutions and commercial farms. Her ongoing work continues to shape the future of digital agriculture, positioning her as a key innovator in the integration of robotics, computer vision, and plant science.
Research Focus
Key Achievements
Top Papers
- 1