基于加权模糊聚类的农田养分管理区划
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of the Soil Nutrient Management Zones Based on Weighted Fuzzy Clustering
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    摘要:

    将加权模糊聚类算法应用于管理区划分,权值的确定分别采用主成分分析法和变异系数法。在吉林省榆树市精细农业试验田获取土壤氮、磷、钾数据,应用本文提出的加权模糊聚类算法进行管理区划分,确定了试验区的管理分区数目,并与传统的模糊聚类方法进行了比较。结果表明,基于加权模糊聚类的管理分区更合理、更符合实际情况,该方法可用于指导精准施肥。

    Abstract:

    Weighted fuzzy clustering algorithm is proposed and applied in management zones of soil nutrients. In the algorithm, the determination of the weight of different soil nutrients is a key step. Two methods are used to determine the weight. One is the principal component analysis (PCA). The other is coefficient of variation (C.V).To verify above methods, soil nutrients of N, P, K were sampled at the experimental site, a field in Yushu City of Jilin Province, and then the weighted fuzzy clustering algorithm was used and the number of the management zones was determined. The effectiveness of the weighted fuzzy clustering method was validated by comparing with the traditional fuzzy clustering method. The results show that the weighted fuzzy clustering method is more reasonable and more practical and can be used to support precision fertilization.

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于合龙,刘大有,陈桂芬.基于加权模糊聚类的农田养分管理区划[J].农业机械学报,2009,40(Z1):177-182.

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