Yihai Deng

Papers

Total Citations

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About

Yihai Deng is a researcher whose work lies at the intersection of machine vision and agricultural automation. His primary focus is on developing intelligent systems for fruit recognition, a critical step toward autonomous harvesting. Deng’s most cited paper, “Research on Multi-class Fruits Recognition Based on Machine Vision and SVM” (2018, 32 citations), tackles the challenge of enabling robots to identify multiple fruit types with high adaptability and low cost. By leveraging Support Vector Machines (SVM) and machine vision, he proposed a method that improves recognition accuracy, directly supporting the goal of reducing manual labor in agriculture. This contribution is notable for its practical approach to a key bottleneck in agricultural robotics: the need for versatile, cost-effective perception systems. Deng’s work has been recognized for its potential to advance precision agriculture, offering a foundation for future research in automated fruit picking. His research continues to inspire efforts in machine learning applications for real-world agricultural challenges, making him a notable figure in the field of intelligent farming systems.