Agricultural and Life Sciences (IFAS)
Choi Lab
Led by Daeun Choi · Agricultural and Biological Engineering
What we study
The Choi Lab develops robotics and AI for specialty crops, using drones, sensors, and data to improve farming sustainability and productivity. Their work focuses on low-cost automation and smart monitoring in fields.
What working here is like
- Fieldwork
- Computational
- Building & testing
- Plants
- Coding helps
- Papers
- 5
Recent papers, explained
- Explainable Deep Learning and Edge Inference for Chilli Thrips Severity Classification in Strawberry Canopies
2026 · Agriculture
Uses explainable AI to classify chilli thrips severity in strawberry canopies, making deep learning models interpretable.
- Comparative evaluation of depth imaging and 3D point cloud sensing for automatic strawberry runner cutting
2026 · Smart Agricultural Technology
Tests AI and robotics to automate strawberry runner cutting, comparing depth imaging and 3D point cloud sensing.
Show 3 more papersShow fewer
- RD-GuideNet: A Depth-Guided Framework for Robust Detection, Segmentation, and Temporal Tracking of White Button Mushrooms
2026 · Sensors
Creates a depth-guided AI system to detect, segment, and track white button mushrooms for selective picking.
- Advancing site-specific disease and pest management in precision agriculture: From reasoning-driven foundation models to adaptive, feedback-based learning
2026 · Computers and Electronics in Agriculture
Develops AI models to improve crop disease and pest management using vision-language foundation models.
- Identifying Agricultural Injuries Requiring Trauma Care in Florida
2026 · Safety
Analyzes Florida trauma registry data to identify agricultural injuries requiring medical care.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Daeun Choi hasn't set up this page yet. You can also look them up in the UF directory (search “Daeun Choi”).