Papers
2
Total Citations
4
H-Index
2
About
Zhifu Xu is a researcher focused on agricultural robotics and intelligent automation, with a particular emphasis on computer vision and positioning technologies for greenhouse and facility cultivation environments. Their work addresses critical challenges in agricultural labor shortages by developing robotic systems capable of precise object recognition and spatial localization. Xu’s major contributions include advancing visual processing techniques for greenhouse electric work robots, enabling geometric positioning and color recognition essential for autonomous operation. They have also pioneered the application of transfer learning with SSD MobileNet architectures for grape detection and 3D coordinate acquisition in facility cultivation settings, a key step toward intelligent picking equipment. While their most-cited papers currently hold 2 citations each, these foundational studies represent early-stage innovations in a rapidly growing field. Xu’s research sits at the intersection of robotics, computer vision, and precision agriculture, offering practical solutions for automating labor-intensive tasks in controlled environment agriculture. Their work contributes to the broader goal of developing intelligent, vision-guided robotic systems that can enhance productivity and address workforce challenges in modern farming.
Research Focus
Key Achievements
Top Papers
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- 2