Emir Memic

University of Hohenheim

Papers

1

Total Citations

19

H-Index

1

About

Emir Memic is a researcher whose work lies at the intersection of precision agriculture, automation, and sensor technology. His key contributions focus on developing cost-effective, autonomous systems to improve agricultural efficiency and sustainability. In his highly regarded 2017 study, "3D Imaging with a Sonar Sensor and an Automated 3-Axes Frame for Selective Spraying in Controlled Conditions," Memic pioneered the use of a low-cost sonar sensor for autonomous selective spraying. This work directly addresses critical challenges in modern farming, including reducing production costs, conserving resources, and minimizing environmental impact by enabling targeted pesticide application. With 19 citations, this paper has become a foundational reference for researchers exploring affordable sensing solutions for precision agriculture. Memic's research demonstrates how accessible technology can be harnessed to meet stringent pesticide regulations while promoting ecological stewardship. His innovative approach to integrating 3D imaging with automated frames offers a practical pathway toward smarter, more sustainable farming practices.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
3D Imaging with a Sonar Sensor and an Automated 3-Axes Frame for Selective Spraying in Controlled Conditions
19 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Hohenheim

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago