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DOI: 10.14569/IJACSA.2022.01312118
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Application of CAD Aided Intelligent Technology in Landscape Design

Author 1: Juan Du

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 12, 2022.

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Abstract: The current landscape design methods ignore the depth rendering of scene elements, resulting in low spatial utilization of landscape plant diversity index and landscape spatial pattern. Therefore, this study explores the application of CAD in landscape design. AutoCAD aided intelligent technology is adopted to display the scene in multiple directions and from all angles with terrain design, planning design and planting design as the main contents. Using 3D graphics engine to render landscape elements. On this basis, the spatial coordination planning model of plant landscape is established. The color attribute of landscape space staggered pattern is added to 3D visual reconstruction model by image library function, and the CAD intelligent technology is applied in landscape design. The results shows, the method scored higher in graphic refresh rate, visual brightness and visual contrast, a higher plant diversity coefficient in multiple iterations, and a higher spatial utilization ratio of the landscape pattern than the other two design methods, and the spatial utilization ratio of the landscape pattern of the proposed method is higher than that of the reference method.

Keywords: Landscape design; CAD intelligent technology; engine rendering; image library function; 3D visual reconstruction;digital design; landscape architecture

Juan Du, “Application of CAD Aided Intelligent Technology in Landscape Design” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.01312118

@article{Du2022,
title = {Application of CAD Aided Intelligent Technology in Landscape Design},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.01312118},
url = {http://dx.doi.org/10.14569/IJACSA.2022.01312118},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Juan Du}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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