Research and Application of Space-Time Evolution of Soil Fertility Data Mining Based on Visualization

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.
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Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.359-367, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_38〉
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Wei Dong, Guifen Chen, Jian Jiang, Guowei Wang. Research and Application of Space-Time Evolution of Soil Fertility Data Mining Based on Visualization. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-369, pp.359-367, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27278-3_38〉. 〈hal-01361003〉

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