Abstract
Changes in Cultivated Land Fertility has important influence on food production, productivity. In this paper, by using acquired land evaluation data of Nong’an County Jilin Province, using entropy method to calculate the weight of all evaluation data, and to improve the weight to the original fuzzy C means clustering algorithm, C means clustering algorithm was gained based on fuzzy entropy weight finally. We applied this algorithm to evaluate soil fertility Nong’an County Jilin Province to get the results of its evaluation, the average accuracy rate of 94.02%, indicating the algorithm can be applied to the soil fertility evaluation.
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Funds support: National 863 subjects (2006AA10A309); Jilin Agricultural University Scientific Research Foundation.
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Wang, G., Yan, L., Yao, Y. (2012). Application Research of Weighted Fuzzy C Means Clustering about Soil Fertility Evaluation in Nong’an County. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25781-0_30
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DOI: https://doi.org/10.1007/978-3-642-25781-0_30
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