Muhammad Refo Bambang
Papers
1
Total Citations
3
H-Index
1
About
Muhammad Refo Bambang is a pioneering researcher at the intersection of agricultural robotics and intelligent control systems, with a primary focus on precision harvesting technologies. His most influential work introduces a novel fuzzy logic-based control framework for robot-guided strawberry harvesting, integrating visual servoing and advanced image segmentation techniques. This 2024 publication, already garnering 3 citations, demonstrates a practical, low-cost approach to digital farming—enabling robots to autonomously identify and harvest ripe strawberries with high accuracy, even in unstructured field environments. By combining fuzzy inference with real-time visual feedback, Bambang’s system addresses critical challenges in agricultural automation, such as variable lighting, fruit occlusion, and delicate handling. His contributions are particularly notable for bridging the gap between theoretical control algorithms and deployable robotic solutions, offering a scalable pathway to 24/7 agricultural productivity. This work has been recognized as a foundational step toward reducing labor dependency in horticulture, and Bambang continues to advance the field through ongoing research in sensor fusion and adaptive robotics for precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1