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Use of fractal dimension ratios of plant images as an allometric predictor of plant biomass

机译:利用植物图像的分形维数比率预测植物生物量

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This study explored the use of plant images to perform fractal analysis of plant architecture and growth to estimate above ground biomass. Fractal analysis of plant architectures was performed to quantify and describe functional obligations of plants. The methods used for this study included a) the assimilation of various plant species' images, b) computation of fractal dimensions and derived measures and c) statistical analysis of these measures. Initial results from this study suggests that a) shade tolerant plants have distinct fractal dimensions within a characteristic range of 1.6 - 1.85, suggesting that the fractal dimension strongly reflects a branching and photosynthesis strategy to maximize available light for energy production. b) Plants exhibit distinct fractal geometries at the leaf level and the whole plant level. The fractal dimensions of the plant (FDP), the leaf (FDL) and the ratio of the two (FDR=FDL/FDP) characterizes the overall foliage architecture. c) The fractal dimension ratio extracted from images is predictive of the actual biomass of the plant accounting for its particular environmental stressors impacting foliage. This could aid in refining biomass calculations and in the estimation of carbon sequestration potential of plants, as current models may be overestimating these values.
机译:这项研究探索了使用植物图像对植物结构和生长进行分形分析,以估算地上生物量。进行了植物结构的分形分析,以量化和描述植物的功能义务。用于这项研究的方法包括:a)同化各种植物物种的图像,b)计算分形维数和派生度量,以及c)对这些度量进行统计分析。这项研究的初步结果表明:a)耐荫植物的分形维数在1.6-1.85的特征范围内,这表明分形维数强烈反映了一种分支和光合作用策略,可最大程度地利用可利用的光来生产能量。 b)植物在叶片水平和整个植物水平上表现出不同的分形几何形状。植物的分形维数(FDP),叶子的分形维数(FDL)和两者的比例(FDR = FDL / FDP)表征了整体的叶子结构。 c)从图像中提取的分形维数比可以预测植物的实际生物量,这是由于其影响叶面的特定环境压力造成的。由于当前的模型可能会高估这些值,因此这可能有助于改进生物量的计算并估计植物的固碳潜力。

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