Wickson Hall Rm. 2026

Principal Investigator: Brian Bailey

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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.

Software

Our research is centered around the Cronus 3D simulation software, which is developed and maintained by the lab. Cronus 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.

Join Us

The lab is currently recruiting two postdoctoral researchers to study California almond orchard systems. For more information, click here.

Recent Publications

March 2017
Rapid measurement of the three-dimensional distribution of leaf orientation and the leaf angle probability density function using terrestrial LiDAR scanning. Remote Sensing of Environment 193:63-76. doi:10.1016/j.rse.2017.03.011 Full-Text PDF
January 2017
Rapid, high-resolution measurement of leaf area and leaf orientation using terrestrial LiDAR scanning data. Measurement Science & Technology 28:064006 doi:10.1088/1361-6501/aa5cfd Full-Text PDF
January 2017
Numerical considerations for Lagrangian stochastic dispersion models: Eliminating rogue trajectories, and the importance of numerical accuracy. Bound.-Layer Meteorol. 162:43-70 Full-Text PDF
February 2016
The creation and evolution of coherent structures in plant canopy flows and their role in turbulent transport. J. Fluid Mech. 789:425-460 Full-Text PDF
Department of Plant Sciences
One Shields Ave.
Davis, CA 95616