Application Research of Weighted Fuzzy C Means Clustering about Soil Fertility Evaluation in Nong’an County

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.