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  • 标题:Use of big data technologies in animal husbandry
  • 本地全文:下载
  • 作者:Alexander Sokolov ; Vera Batova ; Andrey Volkov
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:273
  • 页码:1-11
  • DOI:10.1051/e3sconf/202127302030
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The growing interest in big data is driven by several identified factors. Nowadays, humanity uses a large number of equipment that generates multi-format signals and the amount of the generated information is growing exponentially, but the biggest part of this data is unstructured information. In this regard, choosing relevant information and achieving correct interpretations of its flow are becoming more relevant and complex issues. The technologies of Big data allow processing huge volumes and diverse compositions of information that can be regularly updated and located in different sources. The use of theses technologies leads to an increased work efficiency and competitiveness, and develops new knowledge. In this paper, the purpose of the study is to investigate and identify the opportunities of business processes’ digitization in agricultural production.
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