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首页> 外文期刊>Journal of Environmental Sciences >Rural landscape planning--case study of Nanhua State Farm
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Rural landscape planning--case study of Nanhua State Farm

机译：乡村景观规划-以南华国营农场为例

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Research work on rural landscape planning was conducted at Nanhua State Farm, which is located in the south of the Leizhou Peninsula, Guangdong Province. Based on its soil nutrient status, rainfall and mean yield of major crops, the soil suitability and land adaptability were evaluated. An artificial neural network was introduced as an alternative for modeling the landscape planning. A model was developed using back--propagation as the learning procedure, the sigmoid function as the transfer function and 6 patch types and its number of three phases as input factors. Three optimum planning schemes were selected by using the model. Strategies were proposed for improving diversity and heterogeneity, productivity and sustainability within the system through the planning scheme.
机译：在广东省雷州半岛南部的南华国营农场进行了乡村景观规划研究。根据土壤养分状况，降雨和主要农作物的平均产量，评估了土壤适宜性和土地适应性。引入了人工神经网络作为建模景观规划的替代方法。使用反向传播作为学习过程，使用S形函数作为传递函数，使用6种贴片类型及其三相数作为输入因子来开发模型。使用该模型选择了三个最佳计划方案。提出了通过计划方案改善系统内的多样性和异质性，生产率和可持续性的策略。

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