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The Frontiers of Society, Science and Technology, 2024, 6(6); doi: 10.25236/FSST.2024.060617.

Research on Innovation and Application of Rattan Weaving Products in Rural Construction Landscape Aided by Artificial Intelligence

Author(s)

Hailu Wan, Chao Wang, Yaning Wang

Corresponding Author:
Hailu Wan
Affiliation(s)

Guangxi Technological College of Machinery and Electricity, Nanning, 530007, China

Abstract

This research aims to explore the innovative application value of Artificial Intelligence (AI) technology in rattan weaving products and analyze its role in enhancing landscape creation. Combining relevant literature and field research, this paper thoroughly analyzes the specific application methods of AI technology in rattan weaving design, production, and market promotion. Based on field investigation data from Du'an Yao Autonomous County and Huanjiang Maonan Autonomous County in Hechi City, Guangxi Province, this study verifies the positive impact of AI technology on rattan weaving products and landscape creation. The research findings reveal that AI technology can effectively promote design innovation, improve production efficiency and quality, and enhance the aesthetic appeal and quality of the environment in rattan weaving. It further contributes to the growth of economic benefits in the local rattan weaving industry. Based on the data analysis from the two locations, this study proposes a feasible pathway for AI technology to support rattan weaving products and provides a forward-looking perspective on its future development prospects. This approach aims to empower the rural rattan weaving industry's economic development and achieve rural revitalization.

Keywords

Artificial Intelligence, Traditional Rattan Weaving, Landscape Creation, Rural Revitalization

Cite This Paper

Hailu Wan, Chao Wang, Yaning Wang. Research on Innovation and Application of Rattan Weaving Products in Rural Construction Landscape Aided by Artificial Intelligence. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 6: 107-117. https://doi.org/10.25236/FSST.2024.060617.

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