Tarek Alahmad

Széchenyi István University

Papers

2

Total Citations

16

H-Index

2

About

Tarek Alahmad is a researcher at the forefront of precision agriculture and sustainable food systems, with a primary focus on leveraging advanced sensing and robotics for crop monitoring. His most impactful work tackles the critical challenge of field-grown tomato yield estimation, introducing a novel methodology that combines point cloud segmentation, 3D shape analysis, and RGB imagery captured by a self-developed field robot and DSLR cameras. This approach, detailed in his 2024 paper (11 citations), offers a non-destructive, automated alternative to traditional yield prediction, directly addressing the need for accurate, real-time data in modern farming. Alahmad also explores the intersection of technology and sustainability, as seen in his 2023 work on the challenges of ecocentric development within agriculture, specifically examining the role of the Internet of Things (IoT) from an ICT perspective. By analyzing the conditions necessary to "feed the global population and regenerate the planet," he highlights the critical gap between current capabilities and the data-driven infrastructure required for truly sustainable intensification. His research is instrumental in bridging robotics, computer vision, and ecological principles, providing actionable insights for students and researchers aiming to build a more resilient and efficient agricultural future.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Field-grown tomato yield estimation using point cloud segmentation with 3D shaping and RGB pictures from a field robot and digital single lens reflex cameras
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Széchenyi István University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago