A method for detecting the quality of cotton seeds based on an improved ResNet50 model

• Xinwu Du ,

  Contributed equally to this work with: Xinwu Du, Laiqiang Si, Pengfei Li, Zhihao Yun

  Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – review & editing

  * E-mail: du_xinwu@sina.com.cn

  Affiliations College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, Henan, China, Science & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang, Henan, China

  https://orcid.org/0000-0003-2221-2146

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• Laiqiang Si ,

  Contributed equally to this work with: Xinwu Du, Laiqiang Si, Pengfei Li, Zhihao Yun

  Roles Investigation, Methodology, Project administration, Resources, Software, Writing – original draft

  Affiliation College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, Henan, China

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• Pengfei Li ,

  Contributed equally to this work with: Xinwu Du, Laiqiang Si, Pengfei Li, Zhihao Yun

  Roles Data curation, Methodology, Project administration

  Affiliation College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, Henan, China

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• Zhihao Yun

  Contributed equally to this work with: Xinwu Du, Laiqiang Si, Pengfei Li, Zhihao Yun

  Roles Data curation, Methodology, Project administration

  Affiliation College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, Henan, China

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