Liuyang Wang
Papers
1
Total Citations
17
H-Index
1
About
Liuyang Wang is a researcher advancing precision agriculture through the integration of thermal imaging and computer vision. His primary research areas include crop water stress detection, 3D plant phenotyping, and non-destructive sensing technologies for sustainable farming. Wang’s major contribution lies in developing a novel method to extract the three-dimensional distribution of the Crop Water Stress Index (CWSI) by fusing thermal infrared imagery with binocular stereovision systems. This work, published in 2023 and garnering 17 citations, enables timely, continuous, and non-invasive monitoring of water status at the canopy level—critical for optimizing irrigation and improving crop breeding programs. By mapping water stress in 3D space, his approach provides richer spatial information than traditional 2D methods, offering farmers and researchers a powerful tool to enhance water-use efficiency. Wang’s research addresses a pressing global need for sustainable agriculture, and his innovative fusion of sensing technologies marks a notable achievement in the field of digital agronomy. His work continues to influence the development of smart, data-driven crop management systems.
Research Focus
Key Achievements
Top Papers
- 1