Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum)

• Rajermani Thinakaran,

  Roles Conceptualization, Project administration, Visualization, Writing – review & editing

  Affiliation Faculty of Data Science and Information Technology, INTI International University, Negeri Sembilan, Malaysia

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• Ecenur Korkmaz,

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

  Affiliation Öztar Tohumculuk ve Tarım Ürünleri A.Ş. Izmir, Türkiye

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• Başak Ünver,

  Roles Data curation, Investigation, Resources, Writing – review & editing

  Affiliation Öztar Tohumculuk ve Tarım Ürünleri A.Ş. Izmir, Türkiye

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• Seyid Amjad Ali,

  Roles Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing

  Affiliation Department of of Information Systems and Technologies, Bilkent University, Ankara, Türkiye

  https://orcid.org/0000-0001-9250-9020

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• Zeshan Iqbal,

  Roles Formal analysis, Project administration, Software, Writing – review & editing

  Affiliation Department of Computer Engineering, Sivas University of Science and Technology, Sivas, Türkiye

  https://orcid.org/0000-0003-4545-4092

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• Muhammad Aasim

  Roles Conceptualization, Investigation, Methodology, Software, Visualization, Writing – original draft

  * E-mail: mshazim@gmail.com

  Affiliation Faculty of Agricultural Sciences and Technologies, Sivas University of Science and Technology, Sivas, Türkiye

  https://orcid.org/0000-0002-8524-9029

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