Jie Lu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Jie Lu is a leading figure in agricultural robotics, with a primary focus on intelligent control systems for fruit and vegetable harvesting. Her key research areas encompass visual servo control, fuzzy neural networks, and the automation of delicate picking operations. Dr. Lu’s most notable contribution is the development of a visual servo control method for tomato cluster-picking manipulators, which integrates a Takagi-Sugeno (T-S) fuzzy neural network to enhance precision and adaptability in dynamic field environments. This work, published in 2021 and garnering 6 citations, demonstrates her ability to bridge theoretical control algorithms with practical agricultural challenges. By designing a specialized T-S fuzzy neural network structure and training it with real-world data, she has advanced the reliability of robotic systems for handling fragile crops. Her research is pivotal in reducing labor dependency and improving harvest efficiency, making her a respected voice in precision agriculture. Dr. Lu’s innovative approach continues to inspire further exploration into intelligent, sensor-driven automation for sustainable farming.
Research Focus
Key Achievements
Top Papers
- 1