Johnny Waked
Papers
1
Total Citations
5
H-Index
1
About
Johnny Waked is a researcher at the forefront of agricultural robotics and autonomous systems, with a focused expertise in developing and deploying intelligent machinery for precision farming. His most-cited work, "Implementation and Assessment of an Autonomous Ground Vehicle (AGV) for On-Field Agricultural Operations" (2024), has already garnered 5 citations, marking a significant early impact in the field. In this pivotal study, Waked demonstrates the practical integration of autonomous navigation, sensor fusion, and real-time control to create an AGV capable of performing essential on-field tasks—such as seeding, weeding, or monitoring—with minimal human intervention. His contributions are particularly notable for bridging the gap between theoretical autonomy and real-world agricultural constraints, addressing challenges like uneven terrain, variable lighting, and crop detection. By providing a robust framework for testing and evaluating AGV performance under actual field conditions, Waked’s work lays a critical foundation for scalable, cost-effective automation in agriculture. This research not only advances the state of the art in autonomous ground vehicles but also offers tangible solutions for increasing efficiency and sustainability in modern farming. As a rising voice in agri-robotics, Johnny Waked’s output is poised to influence both academic research and practical implementations in the years to come.
Research Focus
Key Achievements
Top Papers
- 1