ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy

Saiqa Andleeb; Wajid Arshad Abbasi; Rozina Ghulam Mustafa; Ghafoor ul Islam; Anum Naseer; Irsa Shafique; Asma Parween; Bushra Shaheen; Muhamad Shafiq; Muhammad Altaf; Syed Ali Abbas

doi:10.1371/journal.pone.0255674

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Open Access

Peer-reviewed

Research Article

ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy

Saiqa Andleeb,

Roles Data curation, Funding acquisition, Investigation, Supervision, Writing – review & editing

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Wajid Arshad Abbasi ,

Roles Conceptualization, Formal analysis, Methodology, Software, Supervision, Validation, Writing – original draft

* E-mail: wajidarshad@gmail.com, wajidarshad@ajku.edu.pk

Affiliation Computaional Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan

https://orcid.org/0000-0001-7691-5715

⨯
Rozina Ghulam Mustafa,

Roles Data curation, Validation, Writing – review & editing

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Ghafoor ul Islam,

Roles Data curation, Formal analysis, Writing – review & editing

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Anum Naseer,

Roles Data curation

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Irsa Shafique,

Roles Data curation

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Asma Parween,

Roles Data curation

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Bushra Shaheen,

Roles Data curation

Affiliation Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Muhamad Shafiq,

Roles Formal analysis, Writing – review & editing

Affiliation Environmental Protection Agency (AJK-EPA), Government of Azad Jammu and Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯
Muhammad Altaf,

Roles Formal analysis, Writing – review & editing

Affiliation Department of Forestry Range and Wildlife Management, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
⨯
Syed Ali Abbas

Roles Formal analysis, Resources, Validation, Writing – review & editing

Affiliation Computaional Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K, Pakistan
⨯

ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy

Saiqa Andleeb,
Wajid Arshad Abbasi,
Rozina Ghulam Mustafa,
Ghafoor ul Islam,
Anum Naseer,
Irsa Shafique,
Asma Parween,
Bushra Shaheen,
Muhamad Shafiq,
Muhammad Altaf

Published: September 16, 2021
https://doi.org/10.1371/journal.pone.0255674

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