Zhiheng Lu

China Agricultural University, Guangxi University

Papers

Total Citations

H-Index

About

Zhiheng Lu is a leading researcher in agricultural robotics and intelligent vision systems, with a focus on automating fruit detection, grading, and harvesting in complex natural environments. His most influential work, "Design of a winter-jujube grading robot based on machine vision" (2021, 59 citations), established a foundational framework for real-time, vision-driven quality assessment in specialty crops, demonstrating how machine vision can replace manual sorting with high accuracy. Building on this, Lu’s recent study "Optimizing edge-enabled system for detecting green passion fruits in complex natural orchards using lightweight deep learning model" (2025, 9 citations) pushes the frontier of edge computing in agriculture, enabling efficient, low-latency detection of fruits that blend into foliage—a critical challenge for autonomous harvesting. By integrating lightweight deep learning models with edge devices, his work reduces computational demands while maintaining robust performance in variable lighting and occlusion conditions. Lu’s contributions bridge the gap between laboratory algorithms and field-deployable systems, directly impacting the scalability of precision agriculture. His research not only advances robotic perception but also offers practical solutions for labor-intensive tasks, making him a key innovator in sustainable, technology-driven farming.