Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures

Ummer Shakeel; Muhammad Asif Habib; Muhammad Yasir; Muhammad Umar Chaudhry; Muhammad Munwar Iqbal; Mudassar Ahmad; Qaisar Abbas; Muhammad Abdul Qayum

doi:10.1371/journal.pone.0348290

Loading metrics

Open Access

Peer-reviewed

Research Article

Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures

Ummer Shakeel,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, University of Engineering and Technology Taxila, Taxila, Pakistan
⨯
Muhammad Asif Habib ,

Roles Funding acquisition, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing

* E-mail: maabid@imamu.edu.sa

Affiliation College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia

https://orcid.org/0000-0002-2675-1975

⨯
Muhammad Yasir,

Roles Investigation, Methodology, Project administration, Resources, Validation

Affiliation Department of Computer Science, University of Engineering and Technology Lahore, Faisalabad Campus, Pakistan
⨯
Muhammad Umar Chaudhry,

Roles Investigation, Methodology, Software, Supervision, Validation

Affiliation Department of Computer Engineering, Bahauddin Zakariya University, Multan, Pakistan
⨯
Muhammad Munwar Iqbal,

Roles Conceptualization, Investigation, Methodology, Supervision, Validation

Affiliation Department of Computer Science, University of Engineering and Technology Taxila, Taxila, Pakistan
⨯
Mudassar Ahmad,

Roles Investigation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science (DCS), National Textile University (NTU), Faisalabad, Pakistan
⨯
Qaisar Abbas,

Roles Formal analysis, Investigation, Methodology, Visualization

Affiliation College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
⨯
Muhammad Abdul Qayum

Roles Methodology, Visualization

Affiliation Department of Computer Science (DCS), National Textile University (NTU), Faisalabad, Pakistan

https://orcid.org/0000-0002-5912-2876

⨯

Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures

Ummer Shakeel,
Muhammad Asif Habib,
Muhammad Yasir,
Muhammad Umar Chaudhry,
Muhammad Munwar Iqbal,
Mudassar Ahmad,
Qaisar Abbas,
Muhammad Abdul Qayum

Published: May 7, 2026
https://doi.org/10.1371/journal.pone.0348290

Reader Comments (0)

Post a new comment on this article

Subject Areas
?

For more information about PLOS Subject Areas, click here.
We want your feedback. Do these Subject Areas make sense for this article? Click the target next to the incorrect Subject Area and let us know. Thanks for your help!

Rice
Is the Subject Area "Rice" applicable to this article?

Thanks for your feedback.
Leaves
Is the Subject Area "Leaves" applicable to this article?

Thanks for your feedback.
Plant pathology
Is the Subject Area "Plant pathology" applicable to this article?

Thanks for your feedback.
Convolution
Is the Subject Area "Convolution" applicable to this article?

Thanks for your feedback.
Cereal crops
Is the Subject Area "Cereal crops" applicable to this article?

Thanks for your feedback.
Deep learning
Is the Subject Area "Deep learning" applicable to this article?

Thanks for your feedback.
Imaging techniques
Is the Subject Area "Imaging techniques" applicable to this article?

Thanks for your feedback.
Image processing
Is the Subject Area "Image processing" applicable to this article?

Thanks for your feedback.