Xiaoling Deng

Henan Polytechnic University, China Agricultural University

Papers

Total Citations

H-Index

About

Xiaoling Deng is a researcher whose work bridges precision measurement and agricultural automation. Her key research areas include laser tracking metrology, robotic guidance systems, and computer vision for agricultural robotics. Deng’s major contribution in precision measurement is the development of Laser Guiding Measurement Robot (LGMR) technology, which uses a tracking mirror to dynamically adjust laser beams for high-accuracy coordinate measurement. Her 2008 paper on error correction for the tracking mirror, with 5 citations, laid foundational work for improving the reliability of laser trackers in industrial settings. More recently, Deng has advanced agricultural robotics by addressing the challenge of automated fruit counting for yield estimation. Her 2019 paper introduces a density map estimation model enhanced with DropBlock regularization, designed to improve counting accuracy in clustered-fruit environments—a task where traditional detection and segmentation methods often struggle. With 2 citations, this work contributes to the growing field of precision agriculture, enabling drones to perform more reliable crop monitoring. Deng’s research demonstrates a versatile ability to apply engineering principles across both manufacturing and agricultural domains, reflecting a commitment to solving real-world measurement and automation problems.