Agricultural and Life Sciences (IFAS)
Medeiros Lab
Led by Henry Medeiros · Agricultural and Biological Engineering
What we study
The Medeiros Lab uses robotics and AI to improve farming with smart systems and automation. They develop computer vision and machine learning models for agricultural tasks.
What working here is like
- Computational
- Building & testing
- Coding required
- Projects
- 2
- Papers
- 5
Current projects
The NVIDIA Developer Experience
Evaluating custom multi-object tracking algorithms on video streaming pipelines with new datasets.
The Science Behind Data Annotation
Designing efficient, AI-assisted data annotation methods and tools for computer vision.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Detecting invasive insects using Uncrewed Aerial Vehicles and Variational AutoEncoders
2025 · Computers and Electronics in Agriculture
- Multi-Object Tracking in Agricultural Applications using a Vision Transformer for Spatial Association
2024 · Computers and Electronics in Agriculture
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- Uncertainty-Aware Gaze Tracking for Assisted Living Environments
2023 · IEEE Transactions on Image Processing
Develops a system to track people's gaze in assisted living environments using facial keypoints.
- River velocity measurements using optical flow algorithm and unoccupied aerial vehicles: A case study
2023 · Flow Measurement and Instrumentation
- Assessment of Preference Behavior of Layer Hens under Different Light Colors and Temperature Environments in Long-Time Footage Using a Computer Vision System
2023 · Animals
Uses computer vision to track chicken behavior in low-light conditions using video footage.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Henry Medeiros hasn't set up this page yet. Their UF Scholars profile lists their publications.