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    <responseDate>2026-10-12T13:20:42Z</responseDate>
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    <identifier>10.57760/sciencedb.11412</identifier>
    <datestamp>2024-04-10T13:48:16Z</datestamp>
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  <dc:date>2024-04-10</dc:date>
  <dc:title>Construction of a Dataset for Knowledge Atlas of Cotton  Diseases and Pests</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.11412</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Cotton is one of the important economic crops in China and one of the most important textile raw materials in the world. During the cotton planting process, various cotton diseases and pests have a significant impact on cotton yield. Constructing a knowledge map of cotton pests and diseases, and intelligentizing the names, symptoms, and prevention methods of cotton pests and diseases, and storing them in the form of a map, is of great significance for precise and rapid prevention and control of cotton pests and diseases. A dataset was constructed based on a knowledge graph of cotton diseases and pests. Based on books and websites related to cotton disease and pest control, unstructured data was collected through OCR technology and Python crawling. After cleaning and merging the data, 30 common cotton diseases and 49 cotton pest data were finally obtained. This dataset can be used to construct a knowledge map of cotton diseases and pests, providing data support for the development of informationization and intelligence in China's cotton planting industry.&amp;nbsp;</dc:description>
  <dc:subject>Cotton pests and diseases; Disease and pest control; knowledge graph; Neo4j</dc:subject>
  <dc:creator>Li Dongya</dc:creator>
  <dc:creator>Wang Zhenlu</dc:creator>
  <dc:creator>Dai Shuo</dc:creator>
  <dc:creator>Chen Zhen</dc:creator>
  <dc:creator>Bai Tao</dc:creator>
  <dc:creator>Sun Wei</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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