Abstract
Soil fertility is a comprehensive reflection of soil properties, and its variation has been a central issue in the field of soil science. Most of current research on Variation of the soil fertility are most for a single time and place, and using expertise, simple mathematical model approach that can not effectively simulate the temporal and spatial variation of soil nutrients law. Therefore, this paper presents a spatial fuzzy clustering mining algorithms based on visualization to investigate the law of spatial and temporal evolution of soil fertility mining.
Supported by National " 863 " High-tech Project (2006AA10A309), National Spark Project (2008GA661003) and Changchun Technology Project (09KT14).
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Dong, W., Chen, G., Jiang, J., Wang, G. (2012). Research and Application of Space-Time Evolution of Soil Fertility Data Mining Based on Visualization. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture V. CCTA 2011. IFIP Advances in Information and Communication Technology, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27278-3_38
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DOI: https://doi.org/10.1007/978-3-642-27278-3_38
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