Minghui Wu

Shanghai University of Engineering Science

Papers

Total Citations

H-Index

About

Minghui Wu is a researcher specializing in agricultural robotics and computer vision, with a particular focus on applying image processing techniques to automated harvesting systems. Wu's most notable work centers on developing intelligent recognition systems for precision agriculture, exemplified by the 2019 paper "Cherry Recognition Based on Color Channel Transform," which has garnered 7 citations within the research community. In this contribution, Wu tackled one of the fundamental challenges in fruit-harvesting robotics: enabling machines to reliably identify ripe fruit under real-world, variable lighting conditions. By leveraging OpenCV's image processing capabilities and innovatively converting RGB color channels into the M channel algorithm within CMYK color mode, Wu demonstrated a practical and effective approach to segmenting mature cherries from complex natural backgrounds. This work represents a meaningful step forward in the development of autonomous cherry-picking robots, addressing a labor-intensive agricultural task through smart vision technology. Wu's research sits at the intersection of machine vision, color space transformation, and agricultural automation, contributing foundational methods that support the broader goal of reducing manual labor demands in fruit harvesting industries.