AR Lab / Research
Intelligent Greenhouse Monitoring and Automation
We explore intelligent monitoring and automation for greenhouse environments.
Project Videos
Tomato Fruit Phenotyping
Robotic Assay for Drought
RoAD is a custom-built robotic system designed for drought response experiments in Arabidopsis plants. The system performs daily weighing, watering, and imaging tasks automatically. We developed image processing algorithms for both 2D&3D phenotypic trait extraction and leaf states classification
Enviratron
The Enviratron is an array of custom-designed plant growth chambers that simulate different environmental conditions coupled with precise sensor-based phenotypic measurements carried out by a robotic rover.
Holographic Imaging of an Arabidopsis Plant
The RoAD system provides detailed holographic images of a plant by sweeping the target from multiple view angles using a high-resolution laser scanner.
Related Publications
- Robotic Assay for Drought (RoAD): An Automated Phenotyping System for Brassinosteroid and Drought Response
- VF-FruitRecon: A Vision Foundation Model-based Pipeline for Occlusion-Robust Tomato Fruit 3D Reconstruction and Size Estimation. Computers and Electronics in Agriculture.