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Nature Environmental Protection, 2021, 2(2); doi: 10.38007/NEP.2021.020206.

Natural Environment Protection Technology and Improvement Relying on Artificial Intelligence

Author(s)

Gachuno Onesmus

Corresponding Author:
Gachuno Onesmus
Affiliation(s)

Department of Civil Engineering, National Institute of Technology Patna, Bihar 800005, India

Abstract

In the world, environmental protection has become the most concerned issue of all countries. Today, with the rapid development of society, how to realize the stable development of society without damaging the ecology is a topic worthy of discussion. The environmental protection work is relatively backward. Through several years of efforts, the current environmental protection technology has made great progress, but still faces many problems. Therefore, it is necessary to conduct a comprehensive research on environmental protection technology. This paper first analyzed the development of environmental protection technology and the problems it faces, and put forward relevant countermeasures in order to bring some help to the environmental protection work. After that, it analyzed the importance of energy conservation, and expounded the specific measures of energy conservation and environmental protection resources based on the actual situation to realize the concept of sustainable development, so as to create a green ecological living environment. Through the analysis of experimental data, this paper compared the technology of garbage quantity and garbage disposal efficiency, and found that the efficiency of artificial intelligence (AI) algorithm in garbage disposal was 26.25% higher than that of traditional artificial garbage disposal. 

Keywords

Artificial Intelligence, Environmental Protection Technology, Logical Regression Algorithm, Waste Classification Efficiency

Cite This Paper

Gachuno Onesmus. Natural Environment Protection Technology and Improvement Relying on Artificial Intelligence. Nature Environmental Protection (2021), Vol. 2, Issue 2: 51-60. https://doi.org/10.38007/NEP.2021.020206.

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