Toan Tran
Papers
1
Total Citations
19
H-Index
1
About
Dr. Toan Tran is a researcher at the forefront of applying artificial intelligence to precision agriculture, with a particular focus on smart farming and computer vision. His work centers on developing automated systems for weed detection and crop management, leveraging deep learning to address critical challenges in sustainable agriculture. Dr. Tran’s most cited paper, "Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy" (2023, 19 citations), exemplifies his innovative approach. In this study, he demonstrated how combining the EfficientNet architecture with transfer learning can significantly improve the accuracy of weed classification from field images, offering a practical solution for reducing herbicide use and boosting crop yields. This work has been recognized for its potential to transform farming practices through digital technology. Dr. Tran’s contributions are paving the way for more efficient, data-driven agricultural systems, making him a key figure in the intersection of AI and environmental sustainability.
Research Focus
Key Achievements
Top Papers
- 1