Papers
2
Total Citations
14
H-Index
2
About
Xiaowu Zhu is a pioneering researcher in agricultural robotics and intelligent automation, with a focus on computer vision and precision farming. His work bridges the gap between visual perception and autonomous manipulation, enabling machines to perform delicate agricultural tasks with unprecedented accuracy. Zhu’s most-cited paper, “Visual perception enabled agriculture intelligence: A selective seedling picking transplanting robot” (2024, 12 citations), introduces a breakthrough system that uses advanced image recognition to identify and handle individual seedlings, significantly reducing transplanting damage and labor costs. He further advances the field with “Design and performance verification of an intelligent pollination robot for facility tomatoes” (2025, 2 citations), which demonstrates a novel robotic solution for greenhouse pollination—a critical challenge in protected agriculture. Zhu’s contributions are notable for their practical impact: his robots are designed to operate in real-world, unstructured environments, integrating deep learning with mechanical engineering to achieve high precision and reliability. By automating selective picking, transplanting, and pollination, Zhu is helping to address labor shortages and improve crop yields in modern agriculture. His work represents a vital step toward fully autonomous farming systems, making him a key figure in the emerging field of agricultural intelligence.
Research Focus
Key Achievements
Top Papers
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