Bingbing Xu
Papers
1
Total Citations
3
H-Index
1
About
Bingbing Xu is a researcher whose work sits at the intersection of agricultural engineering and digital twin technology, with a particular focus on precision automation in controlled-environment agriculture. Her most cited paper, "Digital Twin-Based Vibration Monitoring of Plant Factory Transplanting Machine" (2023), addresses a critical challenge in plant factories: bowl seedling detachment caused by mechanical vibration during transplanting. In this work, Xu proposes a novel physical entity monitoring method that leverages digital twin (DT) technology to analyze vibration signals in real time, enabling predictive maintenance and operational optimization. This contribution is significant for improving the reliability and efficiency of automated transplanting systems, which are essential for scalable indoor farming. While her citation count is still growing—reflecting the emerging nature of her field—her work has already garnered attention for its practical application of Industry 4.0 concepts to agriculture. Xu’s research exemplifies how digital twins can bridge the gap between physical machinery and data-driven decision-making, offering a pathway toward smarter, more resilient plant factory operations. Her achievements highlight a promising trajectory in sustainable agricultural technology.
Research Focus
Key Achievements
Top Papers
- 1