Luoyi Jin
Papers
1
Total Citations
16
H-Index
1
About
Luoyi Jin is a researcher whose work lies at the intersection of agricultural robotics, soft sensing, and postharvest quality assessment. Her most-cited study, "Grasping perception and prediction model of kiwifruit firmness based on flexible sensing claw" (2023, 16 citations), introduces a novel approach to non-destructive fruit quality evaluation. In this work, Jin developed a flexible sensing claw that mimics human grasping, enabling real-time perception and prediction of kiwifruit firmness—a critical parameter for determining ripeness and shelf life. By integrating tactile sensing with machine learning models, her research addresses a key challenge in precision agriculture: how to assess internal fruit quality without causing damage. This contribution has direct implications for automated harvesting systems and supply chain management, reducing food waste and improving consistency in fruit grading. While her citation count is still growing, the practical relevance and interdisciplinary nature of her work—bridging mechatronics, sensor design, and agricultural science—mark her as an emerging voice in smart farming technologies. Her approach offers a scalable solution for other soft fruits, positioning her research at the forefront of intelligent agricultural sensing.
Research Focus
Key Achievements
Top Papers
- 1