Detection of cotton leaf curl disease’s susceptibility scale level based on deep learning
Detection of cotton leaf curl disease’s susceptibility scale level based on deep learning
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
Cotton, a crucial cash crop in Pakistan, faces persistent threats from diseases, notably the Cotton Leaf Curl Virus (CLCuV). Detecting these diseases accurately and early is vital for effective management. This paper offers a comprehensive account of the process involved in collecting, preprocessing, and analyzing an extensive dataset of cotton lea...
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Full title
Detection of cotton leaf curl disease’s susceptibility scale level based on deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_54b3d03da749409e853341dea35d971f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_54b3d03da749409e853341dea35d971f
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ISSN
2192-113X
E-ISSN
2192-113X
DOI
10.1186/s13677-023-00582-9
