Agricultural and Life Sciences (IFAS)

Abd-Elrahman Lab

Led by Amr Abd-Elrahman · Forest, Fisheries, and Geomatics Sciences

Auto-generated from UF undergraduate research symposium abstracts

What we study

The Abd-Elrahman Lab uses satellite, drone, and lidar data with machine learning to study crops, forests, and water quality. They analyze images to map soil, vegetation, and diseases, using tools like deep learning networks.

What working here is like

  • Computational
  • No organisms (data only)
  • Coding helps
Projects
3
Papers
5

Current projects

Image classification using deep learning networks

Using AI to analyze high-resolution drone images for land cover mapping.

Coastal mapping using UAS-Lidar and hyperspectral imagery

Mapping coastal areas with drones and lidar for environmental studies.

Show 1 more projects

Soil property prediction modeling and mapping

Predicting soil properties using remote sensing and geospatial tools.

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

Recent papers, explained

Show 3 more papers

Plain-language summaries are AI-written and reviewed by us; check the paper for details.

How to reach out

Amr Abd-Elrahman hasn't set up this page yet. Their UF Scholars profile lists their publications.

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Open positions

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Abd-Elrahman Lab · Amr Abd-Elrahman | JoinLattice