Papers
4
Total Citations
536
H-Index
4
About
Jian Lian is a leading figure in agricultural robotics, whose work is fundamentally reshaping the future of fruit harvesting. His research centers on the intersection of computer vision, artificial intelligence, and autonomous navigation, with a primary focus on developing intelligent apple harvesting robots. Lian’s most impactful contribution is his pioneering work on "Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot," which has garnered over 346 citations, establishing a critical foundation for robotic fruit recognition in complex orchard environments. He has also authored a comprehensive review on apple harvesting robots under information technology (146 citations), providing a crucial roadmap for the field by analyzing decades of research since the pioneering French efforts. Further advancing the field, Lian developed a novel fruit recognition method using pulse coupled neural networks and genetic algorithms, and has tackled the challenge of reliable autonomous navigation for agricultural robots through improved adaptive filtering. By solving core problems in visual perception and autonomous control, Jian Lian is directly enabling the next generation of efficient, intelligent, and commercially viable harvesting robots.
Research Focus
Key Achievements
Top Papers
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- 2Apple harvesting robot under information technology: A review146 citations · 2020
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