Papers
1
Total Citations
2
H-Index
1
About
Anqi Hu is a researcher at the forefront of agricultural robotics and computer vision, with a primary focus on developing intelligent perception systems for automated fruit harvesting. Their most-cited work, "Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm" (2024), addresses a critical gap in harvesting robot technology: the challenge of accurately detecting and localizing fruits when they are partially obscured by stems, leaves, or other obstacles. Hu’s key contribution lies in integrating optimized semantic segmentation with obstacle perception algorithms, enabling robots to reliably identify and select target fruits even in cluttered, real-world environments. This work has garnered early recognition with 2 citations, signaling its relevance to the growing field of precision agriculture. By tackling the common yet overlooked problem of occlusion, Hu’s research directly enhances the autonomy and efficiency of harvesting robots, reducing crop damage and improving yield. Their innovative approach to barrier-free fruit selection represents a meaningful step toward practical, vision-based solutions for sustainable agriculture, making Hu a promising voice in the intersection of robotics, deep learning, and food production.
Research Focus
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Top Papers
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