Ahmad Anshori
Papers
1
Total Citations
34
H-Index
1
About
Ahmad Anshori is a researcher at the forefront of precision agriculture and mobile robotics, with a focus on integrating autonomous systems into complex, real-world environments. His most cited work, "Fruit mapping mobile robot on simulated agricultural area in Gazebo simulator using simultaneous localization and mapping (SLAM)" (2017, 34 citations), demonstrates his foundational contribution to developing robotic solutions that can autonomously navigate and map agricultural spaces. Anshori’s research addresses a critical challenge: improving the efficiency, accuracy, and data quality of crop monitoring and treatment beyond what manual human labor can achieve. By leveraging SLAM algorithms in simulated agricultural settings, he has helped pave the way for robots that can produce superior, high-resolution data for precision farming. His work is particularly notable for tackling the limitations posed by the complexity of agricultural environments and the technological constraints of the time. Anshori’s contributions are essential for students and researchers interested in the intersection of robotics, SLAM, and smart agriculture, offering a clear vision of how autonomous mapping can revolutionize crop management and sustainability.
Research Focus
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Top Papers
- 1