Moch Rifki Ramadhani
Papers
1
Total Citations
6
H-Index
1
About
Moch Rifki Ramadhani is a researcher at the forefront of precision agriculture and agricultural robotics, with a focus on integrating aerial and ground-based autonomous systems. His most cited work, "Aerial Drone Mapping and Trajectories Generator for Agricultural Ground Robots" (2020, 6 citations), addresses a fundamental challenge in smart farming: generating sophisticated, high-resolution maps from drone imagery to guide ground robots through complex field environments. This contribution is critical for enabling autonomous crop monitoring, targeted spraying, and efficient soil management. By developing algorithms that translate aerial data into actionable navigation paths, Ramadhani helps bridge the gap between remote sensing and practical field robotics. His work directly supports the broader goal of increasing crop yield and quality while reducing labor costs through automation. Ramadhani’s research is particularly notable for its systems-level thinking—combining computer vision, path planning, and mechatronics to create scalable solutions for modern agriculture. As the agricultural sector increasingly adopts robotics, his contributions to mapping and trajectory generation provide a foundational layer for smarter, more autonomous farming operations.
Research Focus
Key Achievements
Top Papers
- 1