科研之友
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摘要
In precision agriculture there exist two sorts of data-high-dirnensional space data and property data. We propose a precision fertilisation method based on a spatial fuzzy clustering algorithm and apply it to the National 863 Project "Com Precision Task Systems Research and Application". Our research methods include: (1) use of DGPS and GIS to obtain and to process soil spatial information and property information; (2) use of fuzzy clustering analysis to carry out systematic soil nutrient research and to develop classification models; (3) use of the 8-adjacent connection traverse algorithm to carry out spatial clustering analysis and to apply the results to spatial clustering. This two-stage clustering method is superior to the more traditional single-stage clustering methods. Based on clustering results, we can make corn precision fertilisation decisions and can also make decisions relating to other precision agricultural field management issues and operations. It is shown by experiment that this method has good prospects of practical application.
