Presented at: 9th Extended Semantic Web Conference (ESWC2012)
Recently, home garden and green interior have been receiving attention due to the growing environmental consciousness and macrobiotics. However, it is not very simple to grow the greenery in an urban restricted space, then it occasionally results in overgrowth or extinction. Also, it is important for interior / exterior use to balance the greenery to a user's surrounding, but it is difficult for amateurs to imagine its future grown form. Therefore, we propose an Android application ``Green-Thumb Camera'' to query a plant from LOD Cloud to fit environmental conditions based of sensor information on smart phone, and overlay its grown form in the space using AR.
Keywords: AR, Field, LOD, Plant, Sensor
Resource URI on the dog food server: http://data.semanticweb.org/conference/eswc/2012/paper/in-use-industrial/26
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