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Fractal characteristics of two-dimensional images of 'Fuji' apple trees trained to two tree configurations after their winter pruning

机译:“富士”苹果树冬季修剪后训练成两种树形的二维图像的分形特征

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The structural diagrams of apple trees are the comprehensive reflection of the effects of their training and pruning as well as their physiological and ecological characteristics and yield. However, there have been few research reports on the characteristics of the structural diagrams of apple trees. The study investigated the fractal dimension numbers and fractal characteristics of the two-dimensional images of 5-year-old and 10-year-old 'Fuji' apple trees trained to the tall spindle configuration and the open-center configuration employing box-counting in combination with the image processing technology of the Photoshop. The two-dimensional images of apple trees with the different configurations differed and varied with their ages. The fractal dimension numbers of the two-dimensional images of the 10-year-old apple trees with the tall spindle configuration and with the open-center configuration were 1.6625 and 1.6531 respectively while the fractal dimension numbers of the two-dimensional images of the 5-year-old apple trees with the tall spindle configuration and with the open-center configuration were 1.6429 and 1.6377 respectively. As the age of the apple trees increased, the spatial quantities and distributions of trunks and branches got slightly intensified, and the fractal dimension numbers of their two-dimensional images and the apple yield increased correspondingly. The comparison of the fractal characteristics of the apple trees with the same age, which were trained to the different configurations, revealed that under the same age, the branch quantities and the apple yield of the apple trees with the tall spindle configuration were higher than those with the open-center configuration, so that under the same age the fractal dimension numbers with the tall spindle configuration were higher than those with the open-center configuration. These results showed that the fractal dimension number of the two-dimensional images of apple trees depended upon their trunk and bough distribution and at the same time it increased with their apple yield as well. Therefore, the fractal dimension numbers of the two-dimensional images of apple trees could be employed as an indicator for assessing training and pruning effects on apple trees and their fruit yield
机译:苹果树的结构图全面反映了苹果树的修剪修剪效果,生理生态特性和产量。但是,关于苹果树的结构图的特征的研究报道很少。该研究调查了5年和10年的“富士”苹果树训练成高纺锤形和采用开箱计数的开放中心配置的二维图像的分形维数和分形特征。与Photoshop的图像处理技术相结合。具有不同配置的苹果树的二维图像随年龄的增长而变化。高主轴构型和开中心构型的10年龄苹果树的二维图像的分形维数分别为1.6625和1.6531,而5个苹果树的二维图像的分形维数为5。高主轴构型和开放中心构型的三岁苹果树分别为1.6429和1.6377。随着苹果树龄的增加,树干和树枝的空间数量和分布略有增强,其二维图像的分形维数和苹果产量也相应增加。比较不同年龄训练的相同树龄苹果树的分形特征,发现在相同年龄下,高纺锤形苹果树的分支量和苹果产量均高于那些。带有开放中心配置,因此在相同的年龄下,高主轴配置的分形维数比开放中心配置的高。这些结果表明,苹果树的二维图像的分形维数取决于它们的树干和树枝的分布,同时它也随着苹果产量的增加而增加。因此,苹果树的二维图像的分形维数可以作为评估训练和修剪对苹果树及其果实产量的指标。

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