Deqin Xiao

Papers

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About

Dr. Deqin Xiao is a researcher in agricultural robotics and precision automation, with a focus on sensor-based navigation and plant phenotyping. Her work addresses critical challenges in automating agricultural tasks under natural, unstructured conditions. In a highly cited 2016 study (8 citations), Dr. Xiao introduced a novel turning model for agricultural robots using tri-axial acceleration sensors, proposing radial and tangent methods for real-time angle acquisition—an advancement over existing algorithms for autonomous field navigation. She further contributed to plant-level automation with a 2018 paper (3 citations) that developed a leaf vein detection scheme for locating individual plant leaves. This work tackles the fundamental difficulty of detecting leaves despite complex shape variation and pose changes in living plants, a key enabler for precision tasks like targeted spraying or harvesting. Though her citation counts are modest, Dr. Xiao’s research is foundational for integrating low-cost sensors into robust agricultural systems, bridging the gap between controlled laboratory conditions and real-world farm environments. Her work exemplifies the practical engineering required to advance smart agriculture.