Sustainable Tea Garden Ecotourism Based on the Multifunctionality of Organic Agriculture Based on Artificial Intelligence Technology

There have been tea-travel resources combining tea gardens and tourism long ago. Chinese people pay more and more attention to the spiritual consumption demand, but they have been criticized because of their imperfect development. Although many experts and scholars have conducted research on this, they have not obtained valid results. However, with the development of modern science and technology agriculture, the emergence of organic agriculture can undoubtedly contribute to the sustainable development of tea garden ecotourism. Therefore, this article is based on the versatility of artificial intelligence technology and organic agriculture, starting from its definition and functional characteristics, combined with the current situation and development requirements of tea garden ecotourism, and deeply analyzes the sustainable development of tea garden ecotourism, ideas, and models in order to provide a reference for the development of ecotourism in Chinas tea gardens. This paper uses the data analysis method, comparison method, questionnaire survey method, and other methods to first theoretically summarize the multifunctionality of organic agriculture and tea garden ecotourism and then takes Lushan Yunwu Tea Garden as an example to investigate the tea plantation area of Lushan in 2019 reaching 150,000 mu. The annual output reaches 20,000 tons, and the annual output value reaches 2.342 billion yuan; the plantation area of tea gardens in the country is expanded to 45.997 million mu in 2019, the output value increases to 25.47 billion yuan, and the sales volume reaches about 2 million tons. Research shows that based on artificial intelligence technology, the sustainable tea garden ecotourism market has broad prospects and good development prospects. The unique regional development model of Lushan Yunwu Tea Garden is worthy of reference for many domestic tea garden ecotourism scenic spots.