Yingkuan Wang

Chinese Academy of Agricultural Engineering

Papers

Total Citations

H-Index

About

Yingkuan Wang is a rising researcher in the field of precision agriculture, with a focused expertise in the application of unmanned aerial vehicles (UAVs) for agricultural monitoring and management. His most-cited work, "Application of unmanned aerial vehicles in precision agriculture" (2023), with 34 citations, provides a comprehensive review of how drone technology is transforming crop health assessment, irrigation optimization, and yield prediction. Wang's contributions lie in bridging the gap between remote sensing technology and practical agronomic decision-making, demonstrating how UAV-based multispectral imaging can detect early signs of plant stress and nutrient deficiencies. This work has been instrumental in helping farmers reduce resource waste while increasing crop productivity. As an early-career researcher, Wang's impact is notable for its timeliness, addressing the growing global demand for sustainable food production through data-driven farming techniques. His research serves as a foundational reference for students and practitioners exploring the intersection of robotics, computer vision, and agriculture, positioning him as a key voice in the next generation of agri-tech innovators.