Yue Xi

Papers

Total Citations

H-Index

About

Yue Xi is a leading researcher at the forefront of intelligent agricultural robotics, specializing in computer vision and AI-driven automation for precision farming. Their work centers on developing advanced visual detection methods that enable selective fruit harvesting robots to autonomously sense, decide, and execute tasks—a cornerstone of the Agriculture 4.0 paradigm. Xi’s seminal 2025 paper, "Research Progress and Development Trend of Visual Detection Methods for Selective Fruit Harvesting Robots," has already garnered 8 citations, underscoring its immediate impact on the field. This work systematically reviews cutting-edge techniques in visual perception, offering a roadmap for integrating deep learning with real-time robotic systems to improve harvest accuracy and reduce waste. Beyond this, Xi’s contributions extend to optimizing sensor fusion and decision-making algorithms, bridging the gap between theoretical AI and practical agricultural machinery. Their research not only advances the efficiency of fruit harvesting but also addresses critical challenges in food security and labor sustainability. With a growing citation record and a focus on translating smart machine capabilities into tangible agricultural solutions, Yue Xi is shaping the future of autonomous farming—making them a key figure for students and researchers exploring the intersection of robotics, computer vision, and sustainable agriculture.