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AR Lab / Research

Intelligent Greenhouse Monitoring and Automation

We explore intelligent monitoring and automation for greenhouse environments.

Project Videos

Greenhouse Tomato Yield Mapping based on Foundation Models

2026

Tomato Fruit Phenotyping

2026

Robotic Assay for Drought

2017 - 2022

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

2019 - 2022

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

2019

The RoAD system provides detailed holographic images of a plant by sweeping the target from multiple view angles using a high-resolution laser scanner.

  1. Robotic Assay for Drought (RoAD): An Automated Phenotyping System for Brassinosteroid and Drought Response
  2. VF-FruitRecon: A Vision Foundation Model-based Pipeline for Occlusion-Robust Tomato Fruit 3D Reconstruction and Size Estimation. Computers and Electronics in Agriculture.