Lailong Yang

Papers

Total Citations

H-Index

About

Lailong Yang is a researcher at the forefront of agricultural robotics, with a focused expertise in intelligent recognition systems for specialty crops. His most cited work, "Design of Day-Lily Robot Recognition System Based on ZYNQ" (2021, 4 citations), addresses a critical gap in agricultural automation: the high labor costs and lack of robotic solutions for day-lily harvesting. By developing a ZYNQ-based recognition system, Yang pioneered a method to accurately identify day-lilies in complex field environments, enabling efficient, automated picking. This contribution not only reduces reliance on manual labor but also advances the broader field of precision agriculture for niche crops. His research demonstrates a practical application of embedded systems and computer vision to solve real-world agricultural challenges. While his citation count reflects the emerging nature of this work, Yang’s innovation has laid a foundation for future robotic harvesting systems, positioning him as a key contributor to the intersection of robotics, machine vision, and sustainable farming. His efforts highlight the potential for technology to transform labor-intensive agricultural processes.