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  • 标题:APPLICATION RESEARCH OF BIG DATA TECHNOLOGY IN COTTON REMOTE SENSING MONITORING
  • 本地全文:下载
  • 作者:Changzheng Liu ; Yaping Song ; Ronghua Zhang
  • 期刊名称:Fresenius Environmental Bulletin
  • 印刷版ISSN:1018-4619
  • 出版年度:2020
  • 卷号:29
  • 期号:7A
  • 页码:5885-5891
  • 语种:English
  • 出版社:PSP Publishing
  • 摘要:Cotton is an important part of China's agricultural production and a pillar industry of Xinjiang's economy. In recent years, with the continuous expansion of the cotton industry chain, there are also many new problems. These problems often involve a wide range, complicated processes, numerous influencing factors, and the difficulty of solving them. With the development of big data technology, big data provides a new solution to the problem of data processing difficulties in the process of cotton remote sensing monitoring. This paper uses big data of cotton as an entry point to propose a multi-layer application framework of big data technology in cotton remote sensing monitoring, focusing on the content and application scenarios of cotton remote sensing big data, and analyzing the relevance of each link in the framework. Finally, based on the application framework, the application of big data technology in Xinjiang cotton accurate estimation, cotton remote sensing monitoring zoning and cotton disaster prevention and mitigation are expounded.
  • 关键词:Big data technology;Cotton;Remote sensing monitoring;Application
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