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Modeling and Simulating of Spatial Spread of Cross-Boundary Crop Diseases

机译:跨境作物病害空间传播的建模与模拟

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Understanding of the timing, orientation and transmission mode of crop disease spread is very important in prevention and treatment of crop diseases, especially for cross-border crop diseases. In this paper, we introduced the complex network approach to model trans-boundary spread of diseases. In the model, the process of crop disease spread is characterized as a network, where patches of crop planting are abstracted into nodes, and the diseases spread from a node to neighboring nodes. The edge between two nodes is connected, only if the Euclidean distance between two nodes does not exceed the radius of disease spread. We obtained wheat-growing distribution data of Beijing in 2007 by image classification, and further abstracted patches of wheat growing into network nodes, and finally constructed the disease spread network to analyze its topology characteristics. The experimental results show the heavy influence of spatial constraint on disease spread.
机译:了解作物病害传播的时间,方向和传播方式对预防和治疗作物病害,特别是对跨境作物病害非常重要。在本文中,我们介绍了一种复杂的网络方法来对疾病的跨界传播进行建模。在该模型中,农作物病害的传播过程以一个网络为特征,该网络中的农作物种植斑块被抽象为节点,而疾病则从一个节点传播到相邻节点。仅当两个节点之间的欧几里得距离不超过疾病传播的半径时,两个节点之间的边才连接。我们通过图像分类获得了2007年北京的小麦生长分布数据,并将小麦生长的斑块进一步抽象为网络节点,最后构建了疾病传播网络以分析其拓扑特征。实验结果表明空间约束对疾病传播的严重影响。

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