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首页> 外文期刊>Acta Horticulturae >Combining 3D digitizing data and architectural modelling to simulate shoot growth and geometry in apple
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Combining 3D digitizing data and architectural modelling to simulate shoot growth and geometry in apple

机译:结合3D数字化数据和架构建模在苹果中模拟射击生长和几何

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Various models have been developed to predict tree growth and architecture over years, but few of them are capable of simulating 3D geometry development and shoot typology from a pre-existing crown geometry. In this study, we developed an approach forsimulating 3D apple tree structure by combining 3D digitizing data with topological rules adapted from MappleT, an existing architectural model. In this modelling approach, bud fates were simulated with a first and second order Markov chain for terminalsuccessions and using a hidden semi-Markov chain for the branching pattern on the one-year-old shoots. In these Markov models, five bud/shoot types were considered (small, medium, long, floral and dormant). Parametric laws and allometric relationships for each shoot type were used to simulate shoot length and leaf area. Shoot spatial position was set according to branching angle and phyllotaxis of the simulated cultivai-. One nine-year-old apple tree {Malus xdomestica 'Jubilé~R') grown in 110L pots was digitized in 2013 and 2014. The model was calibrated on data recorded in 2012 and 2013. The calibration allowed (i) deriving distribution parameters of shoot length according to their types; (ii) establishing allometric relationships between the internode number, leaf area and the total shoot length; and (iii) evaluating the parameters of the Markov and semi-hidden Markov chains. To validate the model, simulations were performed using the tree digitized in 2013 as inputs of the model. The results werecompared to the same tree digitized in 2014, comparing within tree shoot demography and the shoot leaf areas according to their type and length. Using this approach we were able to simulate tree growth on year n+1 from observed architectures at the adult stage. This opens the way for the optimization of management practices on observed trees in orchards conditions.
机译:已经开发了各种模型来预测多年的树木增长和建筑,但其中很少有人能够从预先存在的冠状几何形状模拟3D几何开发和拍摄类型。在这项研究中,我们通过将3D数字化数据与从Mapplet构成的拓扑规则组合,开发了一种用于模拟3D Apple树结构的方法,现有的架构模型。在这种建模方法中,用第一和二阶马尔可夫链模拟芽序,用于终端剖便,并使用一个半岛的半马尔可夫链在一岁的射击上进行分支模式。在这些马尔可夫模型中,考虑了五种芽/拍摄类型(小,中,长,花卉和休眠)。每个拍摄类型的参数法和各种关系用于模拟射击长度和叶面积。根据模拟素材的分支角度和植物的射击空间位置设定。在2013年和2014年在110L盆中生长的一九岁苹果树根据他们的类型拍摄; (ii)在节间数,叶面积和总射击长度之间建立同传关系; (iii)评估马尔可夫和半隐马尔可夫链的参数。为了验证模型,使用2013年数字化的树作为模型的输入执行模拟。结果在2014年数字化的同一树中,根据其类型和长度,在树拍人口摄影和枝条区域内比较。使用这种方法,我们能够在成人阶段的观察到的架构中模拟树增长。这为在果园条件下观察到的树木上进行了优化的管理实践开辟了方法。

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