Max Robotics — Global Service Robot Directory + US Certification

About

Zhenhui Zheng is a leading researcher in agricultural robotics and intelligent harvesting systems, with a focus on computer vision and deep learning for fruit and crop detection. Her work addresses critical challenges in automating the harvesting of litchi, citrus, and sugarcane in natural environments. Zheng's major contributions include developing a visual detection method for nighttime litchi fruits and fruiting stems (145 citations), which significantly improves harvesting accuracy under low-light conditions. She also pioneered a deep convolutional neural network approach for green citrus detection (52 citations), overcoming the color similarity problem that plagued earlier algorithms. Her method for calculating litchi picking points based on main fruit-bearing branch detection (51 citations) enables precise robotic manipulation. More recently, Zheng has advanced real-time localization and 3D semantic map reconstruction for unstructured citrus orchards (33 citations), and introduced EdgeSugarcane (2025), a lightweight, high-precision model for real-time sugarcane node detection in edge computing environments. Her work consistently bridges the gap between laboratory algorithms and practical field deployment, making her a key figure in the push toward fully autonomous agricultural robotics.