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Nature Environmental Protection, 2021, 2(4); doi: 10.38007/NEP.2021.020404.

Natural Environment and Sustainable Development of Rural Tourism Based on Deep Learning

Author(s)

Olga Dymova

Corresponding Author:
Olga Dymova
Affiliation(s)

Department of Environmental Sciences, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, Pakistan

Abstract

With the government increasing its support for rural tourism, rural tourism areas have emerged in the country. The rapid development of rural tourism market inevitably shows the fierce competition among rural tourism destinations. It is the direction of rural tourism development to establish a marketing concept that conforms to the modern commercial marketing application and the current view of rural tourists. This is conducive to the integration of tourism resources and the sustainable development of rural tourism. Based on this, this paper first puts forward the ecological environment problems of rural tourism, focusing on solid pollution, serious water pollution, vegetation, soil and human landscape damage, and discusses the effective measures for rural tourism ecological protection. This paper puts forward the innovative analysis of rural tourism marketing strategy, and uses deep learning algorithm to strengthen environmental protection and improve rural tourism marketing strategy. Through comparison, it can be seen that the perfection of the service system after the new rural tourism marketing strategy is 41.4% higher than that before the prevention and control, and the tourist attraction is 25.2% higher than that before the prevention and control. After using the new rural tourism marketing strategy, the solid pollution treatment rate is 0.25 higher than that of the traditional monitoring system, and the resource protection degree is 0.32 higher than that of the traditional system.

Keywords

Rural Tourism, Natural Protection of the Environment, Tourism Marketing Strategy, Deep Learning

Cite This Paper

Olga Dymova. Natural Environment and Sustainable Development of Rural Tourism Based on Deep Learning. Nature Environmental Protection (2021), Vol. 2, Issue 4: 28-37. https://doi.org/10.38007/NEP.2021.020404.

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