Wickson Hall Rm. 2026

Principal Investigator: Brian Bailey

caption here

Welcome To the Lab!

Our lab is working to develop the next generation of high-performance computational tools that can allow for realistic simulation of plant systems, and support decision-making in the field. Traditional crop models have been most successful in annual cropping systems, which are relatively homogeneous and ``reset" each year. Models have been much less successful in perennial crop systems, which have widely varying architectures and store and mobilize carbohydrates from season-to-season. Our approach has been to couple mechanistic, physics-based transport models with biological models to better understand and manage perennial plant systems.

The development of simulation tools also requires detailed field data to support them. As such, we also design and perform novel field experiments to obtain the data necessary to parameterize and validate models.

Read more about lab research here.

Simulation Visualizations

You can find some of the lab's plant simulation visualizations here.


Our research is centered around the Helios 3D simulation software, which is developed and maintained by the lab. Helios is a C++ API that manages 3D model geometry and associated data, and has numerous model plug-ins, e.g., radiation, transpiration, growth, LiDAR, and others. Learn more here.

Recent Publications

Early 2020
Helios: a scalable 3D plant and environmental biophysical modelling framework. Frontiers in Plant Science 10:1185 Full-Text PDF
Early 2020
Sensitivity analysis of four crop water stress indices to ambient environmental conditions and stomatal conductance. Scientia Horticulturae 259:108825 Full-Text PDF
August 2019
Evaluating the use of Beer's law for estimating light interception in canopy architectures with varying heterogeneity and anisotropy. Ecological Modelling 406:133-143 Full-Text PDF
May 2018
A theoretically consistent framework for modelling Lagrangian particle deposition in plant canopies. Boundary-Layer Meteorology 167:509-520 Full-Text PDF
April 2018
Semi-direct tree reconstruction using terrestrial LiDAR point cloud data. Remote Sensing of Environment 208:133-144 Full-Text PDF
Department of Plant Sciences
One Shields Ave.
Davis, CA 95616