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Artificial intelligence analysis of contributive factors in determining blackleg disease severity in canola farmlands.

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Title: Artificial intelligence analysis of contributive factors in determining blackleg disease severity in canola farmlands.
Authors: Zhao, Liang1 (AUTHOR), Harding, Michael W.2 (AUTHOR), Peng, Gary3 (AUTHOR), Lange, Ralph4 (AUTHOR), Walkowiak, Sean5 (AUTHOR), Fernando, W. G. Dilantha1 (AUTHOR) Dilantha.Fernando@umanitoba.ca
Source: Canadian Journal of Plant Pathology. Apr2024, Vol. 46 Issue 2, p114-127. 14p.
Database: Academic Search Ultimate
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  Data: Artificial intelligence analysis of contributive factors in determining blackleg disease severity in canola farmlands.
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Plant+Pathology%22">Canadian Journal of Plant Pathology</searchLink>. Apr2024, Vol. 46 Issue 2, p114-127. 14p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/07060661.2023.2290039
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 114
    Titles:
      – TitleFull: Artificial intelligence analysis of contributive factors in determining blackleg disease severity in canola farmlands.
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            NameFull: Zhao, Liang
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            NameFull: Harding, Michael W.
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            NameFull: Peng, Gary
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            NameFull: Lange, Ralph
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            NameFull: Walkowiak, Sean
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            NameFull: Fernando, W. G. Dilantha
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            – D: 01
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
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              Value: 46
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            – TitleFull: Canadian Journal of Plant Pathology
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