Papers
1
Total Citations
4
H-Index
1
About
Wenwei Li is a researcher advancing precision agriculture through innovative sensor-based technologies for fruit-tree canopy characterization. His work focuses on developing non-invasive acoustic and audio signal processing methods to estimate critical canopy parameters, such as leaf density, which are essential for optimizing the spray control of plant-protection robots. Li’s major contribution lies in pioneering the use of wind-excited audio signals to infer internal canopy structure—a technique that overcomes the limitations of conventional optical or external sensors that cannot penetrate the foliage. His most-cited paper, "Leaf-density estimation for fruit-tree canopy based on wind-excited audio" (2024, 4 citations), demonstrates a novel approach to capturing real-time, internal canopy information, directly supporting more precise and environmentally friendly pesticide application. Although his citation count is still growing, this work represents a significant step toward smarter, data-driven agricultural robotics. Li’s research sits at the intersection of agricultural engineering, acoustics, and robotics, offering practical solutions for sustainable farming. His ongoing efforts promise to enhance the autonomy and efficiency of plant-protection systems, making him a notable emerging voice in precision agriculture.
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Top Papers
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