Lingfeng Meng

Papers

Total Citations

H-Index

About

Lingfeng Meng is a researcher at the forefront of agricultural robotics and computer vision, with a focus on intelligent fruit picking and plant protection systems. His work addresses the critical challenge of enabling unmanned robots to accurately perceive and navigate complex outdoor environments. Meng’s most cited paper, “A Marker-Controlled Watershed Algorithm for the Intelligent Picking of Long Jujubes in Trees” (2022), introduces a novel marker-controlled watershed (MCW-D) algorithm that significantly improves the segmentation and localization of target objects—such as long jujubes—in natural, cluttered tree canopies. This contribution is vital for automating precision agriculture, where reliable vision-based target detection is essential for efficient harvesting and crop management. Although his citation count is currently modest (4 citations), the practical implications of his algorithm for real-world agricultural robotics are notable, offering a robust solution to a longstanding bottleneck in autonomous field operations. Meng’s research bridges the gap between computer vision theory and applied agricultural engineering, making his work relevant for students and researchers interested in robotics, image processing, and sustainable farming technologies.