Nguyen Duc Tai
Papers
4
Total Citations
21
H-Index
3
About
Nguyen Duc Tai is a robotics researcher specializing in agricultural automation, with a focus on developing intelligent systems for crop management and harvesting. His work bridges computer vision, path planning, and robotic manipulation to address critical challenges in modern agriculture. Tai’s most cited paper, “Modeling Positions and Orientations of Cantaloupe Flowers for Automatic Pollination” (2024, 8 citations), proposes a complete system integrating a mobile platform, robotic arm, and camera to detect and interact with flowers, aiming to replace manual pollination in greenhouses. He further advances autonomous navigation with “Flexible Path Planning of Mobile Robot for Avoiding Dynamic Obstacles Using Fuzzy Controllers” (2024, 7 citations), which introduces a control method for mobile robots operating in unknown environments. His recent work, “A Lightweight and Optimized Deep Learning Model for Detecting Banana Bunches and Stalks in Autonomous Harvesting Vehicles” (2025, 3 citations), achieves exceptional performance with 96.3% precision and 94.5% mAP50, demonstrating practical viability for real-world harvesting. Tai also contributed to cable robot design for pesticide spraying (2019, 3 citations), showcasing his versatility in agricultural robotics. With a growing citation impact and a focus on deployable solutions, Tai is a rising figure in precision agriculture and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4