Variable-Rate Fertilization Decision-Making System Based on Visualization Toolkit and Spatial Fuzzy Clustering
Abstract:In order to solve the problem of variable rate fertilization in precision agriculture, and comprehensive study of the variation of soil nutrients, we developed a spatial fuzzy clustering variable-rate fertilization decision-making system which integrates artificial intelligence, data mining, spatial analysis technology and visualization, introduces the three-dimensional visualization library VTK adopts Kriging interpolation method to implementation the interactive 3D spatial distribution of soil nutrients of corn in Jilin Province in the process for specific applications. The results indicates: The system is capable for variable rate fertilization in precision agriculture decisions and have improved the soil spatial diversity, enhanced the capacity of agricultural management decision-making, it has received remarkable economic and social benefits.
Document Type: Research Article
Publication date: 2012-01-01
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