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RETRACTED ARTICLE: Agricultural climate change and multilingual GIS database translation system based on embedded database and artificial intelligence

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This article was retracted on 24 November 2021

An Editorial Expression of Concern to this article was published on 28 September 2021

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Abstract

With the development of semiconductor technology, computer technology, electronic communication technology, and the increase of social demand, embedded systems have penetrated into all aspects of people’s daily lives. Agriculture is a very complex ecosystem. It is the source of many original data sets. It is also an important area for the use of big data processing, analysis, and value discovery. In this paper, six spring crop varieties with high temperature tolerance, drought tolerance, and high temperature tolerance and drought tolerance are selected, and the impact of crop adaptation measures on agricultural climate change under future climate conditions is simulated and predicted. Under the influence of the continuous advancement of computer technology and modern scientific systems, artificial intelligence and other modern science and technology have gradually realized the integration with many traditional technical fields. Due to the popularity of the network worldwide, GIS, as a kind of intelligent system, relies on the network to carry out its work and has attracted worldwide attention. Therefore, the demand for supporting multilingual GIS is also increasing. In the multilingual CIS database translation system, the first problem to be solved is the recognition of language categories. By comparing the translation and manual translation of several machine translation software commonly used with artificial intelligence as the background, grasp the development status and level of machine translation, and analyze and evaluate the translation quality of these artificial intelligence machine translation software. On this basis, the future development prospects of machine translation with artificial intelligence as the background are expected to be improved, and there is more room for development.

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Acknowledgements

The author thanks 2020 Wuhan Vocational College of Software and Engineering School-level Project (Project Number: 2020X015)

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Authors and Affiliations

  1. Business School, Wuhan Vocational College of Software and Engineering, Wuhan, 430205, China

    Meiqin Lv

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  1. Meiqin Lv
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Correspondence to Meiqin Lv.

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The author declares that he has no competing interests.

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Responsible Editor: Sheldon Williamson

This article is part of the Topical Collection on Environment and Low Carbon Transportation.

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-09065-0

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Lv, M. RETRACTED ARTICLE: Agricultural climate change and multilingual GIS database translation system based on embedded database and artificial intelligence. Arab J Geosci 14, 1048 (2021). https://doi.org/10.1007/s12517-021-07336-4

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  • DOI: https://doi.org/10.1007/s12517-021-07336-4

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