Chung Young Tan
Papers
1
Total Citations
13
H-Index
1
About
Chung Young Tan is a pioneering researcher in agricultural robotics and precision farming, with a focus on developing intelligent systems for sustainable crop production. His key research areas include autonomous harvesting, deep learning for agricultural classification, and greenhouse automation. Tan’s most notable contribution is the design of an autonomous tomato harvesting robotic system that integrates deep learning classification to identify and pick ripe tomatoes in greenhouse environments. This work, published in 2019, has garnered 13 citations and addresses a critical need in Malaysia, where rising demand for healthy, locally grown tomatoes has outpaced manual labor capacity. By combining computer vision with robotic manipulation, Tan’s system improves harvesting efficiency and reduces crop damage, offering a scalable solution for tropical agriculture. His research stands out for its practical application in real-world greenhouse settings, bridging the gap between machine learning and agronomy. Tan’s work has significant implications for food security and labor optimization, making him a key figure in the advancement of smart farming technologies in Southeast Asia.
Research Focus
Key Achievements
Top Papers
- 1