Abstract
Home gardens and green interiors have recently been receiving increased attention owing to the rise of environmental consciousness and growing interest in macrobiotics. However, because the cultivation of greenery in a restricted urban space is not necessarily a simple matter, overgrowth or extinction may occur. In regard to both interior and exterior greenery, it is important to achieve an aesthetic balance between the greenery and the surroundings, but it is difficult for amateurs to imagine the future form of the mature greenery. Therefore, we propose an Android application, Green-Thumb Camera, to query a plant from LOD cloud to fit environmental conditions based on sensor information on a smartphone, and overlay its grown form in the space using AR.
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Kawamura, T., Ohsuga, A. (2012). Green-Thumb Camera: LOD Application for Field IT. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds) The Semantic Web: Research and Applications. ESWC 2012. Lecture Notes in Computer Science, vol 7295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30284-8_45
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