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An image based water uptake model applied to simulate water uptake by plant roots

机译:基于图像的水分吸收模型,用于模拟植物根系的水分吸收

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This paper presents a new root density based approach to modelling water uptake by plants. In particular, the proposed image-based approach avoids imposition of an artificial root zone geometry that is common in alternative methods. It therefore offers the potential to include natural root morphology within the modelling process. The model is applied to predict soil water content variation in relation to a field of winter wheat. Using a one-dimensional approach, the model was found to be capable of representing field conditions typically within +/- 5% of measured moisture content data. In conclusion, the new model is thought to provide a useful departure from previous models that impose artificial root geometry. However, it is recognized that the ultimate success of this approach is dependent on the quality of available root image data and this is clearly an area that would benefit from further research. The approach is currently being explored within the context of slope stability analysis.
机译:本文提出了一种基于根密度的新方法来模拟植物对水分的吸收。特别地,所提出的基于图像的方法避免了在替代方法中常见的人工根部区域几何形状的施加。因此,它提供了在建模过程中包括自然根形态的潜力。该模型用于预测与冬小麦田有关的土壤水分含量变化。使用一维方法,发现该模型能够代表通常在所测水分含量数据的+/- 5%范围内的田间条件。总而言之,新模型被认为与施加人工根部几何形状的先前模型有很大的不同。但是,已经认识到,这种方法的最终成功取决于可用的根图像数据的质量,这显然是可以从进一步研究中受益的领域。目前正在边坡稳定性分析的背景下探索该方法。

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