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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
. Our essential approach is utilizing the semantic computing to measure the similarity between multispectral image and the meaningful keywords which according to the user's contexts. Our research results found that this method possible to acquire the spectral feature from the multispectral image and could be used in
study examines the selected research articles in the smart farm field. The area of research in smart farm is categorized into two clusters that are soil carbon emission from farming activity, food security and farm management by using a VOSviewer tool with keywords related to research articles on smart farm, agriculture
Bibliometrics is an important branch in the field of information science, and it is widely used in many disciplines in modern research. A current active research subject can be analyzed and summarized from many aspects, such as the core institutions, core authors, highly cited papers, and keywords by using
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