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Traditional agricultural knowledge service is based on keyword rather than content, the recall rate and precision rate cannot to be improved. The knowledge representation based on semantic web can truly achieve the semantic-level knowledge service. This paper analyzes the status of agricultural knowledge service
By use of bibliometric analysis and with the help of a reference software called NoteExpress, 1845 documents on precision agriculture published between 1997 and 2008 are studied and categorized from three databases: Science Citation Index Expanded, Conference Proceedings Citation Index-Science and Ei-Compendex Web
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