Bingfu Lu

Papers

Total Citations

H-Index

About

Bingfu Lu is a researcher whose work sits at the intersection of agricultural robotics and computer vision, with a particular focus on precision harvesting systems. His most cited paper, "Identification Methods of Picking Tomatoes Based on Color Information" (2010), has garnered 5 citations and addresses a critical challenge in automated agriculture: enabling harvesting robots to accurately distinguish ripe tomatoes from their complex natural backgrounds. By statistically analyzing color indicators across different color spaces in field images, Lu developed a robust recognition method that improves the reliability of robotic picking. This contribution is foundational for the development of intelligent harvesting systems, reducing reliance on manual labor and increasing efficiency in crop production. While his citation count reflects a focused, early-stage contribution, Lu's work demonstrates the practical application of color-based image processing to real-world agricultural problems. His research is particularly valuable for students and engineers working at the intersection of robotics, machine vision, and sustainable farming technologies.