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Open Access

Peer-reviewed

Research Article

An efficient smart phone application for wheat crop diseases detection using advanced machine learning

Awais Amir Niaz,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan
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Rehan Ashraf ,

Roles Conceptualization, Investigation, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing

* E-mail: rehan_ashraf94@yahoo.com

Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan

https://orcid.org/0000-0002-6627-9820

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Toqeer Mahmood,

Roles Data curation, Investigation, Validation, Visualization

Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan
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C. M. Nadeem Faisal,

Roles Conceptualization, Investigation, Project administration, Software

Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan
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Muhammad Mobeen Abid

Roles Formal analysis, Resources

Affiliation Department of Computer Science, National Textile University, Faisalabad, Pakistan
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An efficient smart phone application for wheat crop diseases detection using advanced machine learning

Awais Amir Niaz,
Rehan Ashraf,
Toqeer Mahmood,
C. M. Nadeem Faisal,
Muhammad Mobeen Abid

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Published: January 8, 2025
https://doi.org/10.1371/journal.pone.0312768

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Machine learning
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Machine learning algorithms
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Plant pathology
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Cereal crops
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Agricultural workers
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Cell phones
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