Construction and Application of a Landscape Design Teaching Platform Driven by Artificial Intelligence

Introduction

With the continuous development of urbanization and the improvement of people's living standards, landscape design has become an important task and field. Landscape design with a relatively high level can not only improve people's happiness in life, but also promote the utilization of urban land (Na, 2021). Landscape design is not only a beautiful landscape of the city, but also a reflection of the cultural information of the city (Jović & Mitić, 2020). Landscape design can integrate the rich historical and cultural information of the city into the landscape design scheme, and it can also provide more leisure places for people's lives, which enhances people's pursuit of happiness in life (Geffel, 2021). It can be seen that landscape design has added more elements to urbanization construction, not only improving land use efficiency, but also improving more aesthetic factors. However, there are many factors in landscape design. It is not only a 3D (three-dimensional) effect, but also involves the layout, scheme, color, and satisfaction of residents of the landscape design. Therefore, many universities have carried out the teaching task of landscape design, which is also a demand to meet the urbanization process (Xiao, 2021). The teaching task of landscape design is relatively complex, and it is difficult for students to experience the 3D stereoscopic effect of landscape design by traditional teaching methods (Song et al., 2019). Students and teachers can only learn some design elements of landscape design and outline features of landscape design, and it is difficult for them to learn the internal characteristics of landscape design (D’Uva & Eugeni, 2021). This is the disadvantage of traditional teaching methods (Bianconi et al., 2019). Computer virtual reality technology and digital technology have shown good performance in the design of landscape design (Xin et al., 2020). This is also due to the development of computer computing and storage performance. Computer technology can assist artificial methods to discover related designs in landscape design factors and internal characteristics (Liu & Nijhuis, 2020). This research considers the application of computer virtual reality technology and digital technology in landscape design teaching, which can promote students' learning efficiency and interest in landscape design, and is also the general trend of landscape design development (Lybrand et al., 2019).

The computer virtual reality method is a method of displaying 3D graphics, which allows students to observe the internal features of stereoscopic images and different structures more intuitively. Landscape design is also an image with a large number of 3D structures, and most of the landscape design methods are realized by computer virtual reality technology. This research uses computer virtual reality technology to carry out 3D imaging and rendering of the teaching plan of landscape design, which shows the internal factors and rendering effects of landscape design to students. This also saves teachers' lesson preparation time. The layout features between landscape designs are difficult to show through 2D renderings using computer virtual reality technology. Computer virtual reality technology also integrates multi-sensor systems and people's visual and auditory senses. Landscape design researchers can realize the interaction with the tactile and auditory sense of landscape design through the computer system, which allows students to truly experience landscape design layout features and rendering effects. The application of this method in landscape design teaching can promote students' enthusiasm and learning of landscape design (Rossi et al., 2018). Whether for teachers or students, computer virtual reality technology is a relatively useful computer-aided technology. However, computer virtual reality technology does not only show the characteristics and factors related to landscape design to students, but it can also achieve interaction with students. Computer virtual reality technology cannot help students and teachers to discover the characteristic relationships between landscape design, which also limits students' in-depth understanding of landscape design teaching content (Soti et al., 2018). Computer virtual reality technology can display the 3D structure of landscape design, while artificial intelligence technology can learn the relevant data relationships of 3D landscape elements.