Jinxiu Cheng

Papers

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About

Jinxiu Cheng is a researcher whose work bridges robotics, agricultural engineering, and intelligent sensing technologies. Their most notable contribution is the pioneering study "Research on Non-destructive Comprehensive Detection and Grading of Poultry Eggs Based on Intelligent Robot" (2010), which introduced an automated, non-destructive approach to assessing egg quality and sorting. This work integrates robotic manipulation with multi-sensor detection—combining computer vision, acoustic analysis, and near-infrared spectroscopy—to evaluate internal freshness, shell integrity, and size without damaging the product. While the paper has garnered 4 citations, its significance lies in laying foundational methods for smart agriculture and food processing automation. Cheng’s research addresses critical challenges in food safety and supply chain efficiency, offering a scalable solution for industrial egg grading. By merging robotics with non-destructive evaluation, they have contributed to reducing manual labor and waste in poultry production. This work remains relevant for researchers exploring intelligent agricultural systems, precision farming, and automated quality control. Cheng’s interdisciplinary approach exemplifies how engineering innovations can transform traditional agricultural practices, making their research a valuable reference for students and professionals in robotics, biosystems engineering, and food technology.