Sep 28, 2020 · Our results suggest that wheat roots follow patterns that could inspire the design of adaptive engineering flow networks. Root system architecture (RSA) is a signature of plant development:...

The structural design of tree roots is a complex interplay between genetic factors and environmental cues. The root system of a tree consists of primary roots, secondary roots, and tertiary roots, each with its unique role in anchorage and resource uptake.

Apr 18, 2024 · Breeding efforts to produce root ideotypes with specific functions such as optimized nutrient or water acquisition and tolerance to stresses such as salt, drought, or acidic soils are conscribed by several root properties, including root morphology, root topology, root distribution, and RSA.

Dec 1, 2022 · In this work, three existing 1-D plant root models are linked into a single 2D modelling framework, which provides the explicit distribution of the below-ground biomass variables along the lateral (horizontal) and the vertical (depth) directions.

Jun 27, 2017 · To grow a root system, we need to know: (1) when and where the root tips (primordia) are created; (2) how fast the root tips grow; and (3) in what direction. To start, we assume that, at a minimum, one primary root and a hypocotyl are present in the seed embryo.

The modeling with RootBox described in this work represents a promising tool for simulating the urban tree root systems that can generate actionable forecasts of their spatial development, which is useful knowledge for urban planning and design …

Nov 15, 2007 · We discuss here the main focus of root system modelling to date, including a description of simple allometric biomass models, and biomechanical stress models, and then build in complexity through static growth models towards architecture models.

Mar 29, 2019 · Root architectural models explicitly simulate the architecture of root systems in 3D space, and this makes it possible to simulate temporal and spatial dynamics. They are based on morphogenetic rules of individual roots.

In this paper, we present an image-based technique for recovering complex 3D root geometry from a sparse set of viewpoints. Our solution incorporates 2D/3D root system topology as shape prior into the geometric reconstruction process. For every input view, we apply image matting for segmenting the root from the background.

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