Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm

• Afira Aslam,

  Roles Formal analysis, Methodology, Validation, Visualization, Writing – original draft

  Affiliation Department of Creative Technologies, Faculty of Computing and Artificial Intelligence, Air University, Islamabad, Pakistan

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• Syed Muhammad Usman,

  Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

  Affiliation Department of Computer Science, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan

  https://orcid.org/0000-0002-0504-3558

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• Muhammad Zubair,

  Roles Formal analysis, Investigation, Validation, Visualization

  Affiliation Interdisciplinary Research Center for Finance and Digital Economy, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

  https://orcid.org/0000-0003-2694-9364

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• Amanullah Yasin,

  Roles Formal analysis, Investigation, Methodology, Validation

  Affiliation Department of Computer Science, Bahria School of Engineering and Applied Sciences, Bahria University, Islamabad, Pakistan

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• Muhammad Owais ,

  Roles Formal analysis, Methodology, Supervision, Validation

  * E-mail: muhammad.owais@ku.ac.ae (MO); irfan.hussain@ku.ac.ae (IH)

  Affiliation Department of Mechanical and Nuclear Engineering, Khalifa University, Abu Dhabi, United Arab Emirates

  https://orcid.org/0000-0001-7679-081X

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• Irfan Hussain

  Roles Funding acquisition, Project administration, Resources, Supervision

  * E-mail: muhammad.owais@ku.ac.ae (MO); irfan.hussain@ku.ac.ae (IH)

  Affiliation Department of Mechanical and Nuclear Engineering, Khalifa University, Abu Dhabi, United Arab Emirates

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