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Advanced Vision and Learning Lab (AVLL)

Texas A&M University College of Engineering

Spatial and Texture Analysis of Root System distribution with Earth mover’s Distance (STARSEED)

January 5, 2023

J. Peeples, W. Xu, R. Gloaguen, D. Rowland, A. Zare, and Z. Brym, “Spatial and Texture Analysis of Root System Distribution with Earth Mover’s Distance (STARSEED),” in Plant Methods 19, 2023. doi: 10.1186/s13007‑022‑00974‑z.

Purpose: Root system architectures are complex and challenging to characterize effectively for agronomic and ecological discovery.
Methods: We propose a new method, Spatial and Texture Analysis of Root SystEm distribution with Earth mover’s
Distance (STARSEED), for comparing root system distributions that incorporates spatial information through a novel
application of the Earth Mover’s Distance (EMD).
Results: We illustrate that the approach captures the response of sesame root systems for diferent genotypes and
soil moisture levels. STARSEED provides quantitative and visual insights into changes that occur in root architectures
across experimental treatments.
Conclusion: STARSEED can be generalized to other plants and provides insight into root system architecture development and response to varying growth conditions not captured by existing root architecture metrics and models. The code and data for our experiments are publicly available: https://github.com/GatorSense/STARSEED.

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