Oak-YOLO: A high-performance detection model for automated Oak seed defect identification

• Hao Li,

  Roles Writing – original draft

  Affiliation College of Science, Northeast Forestry University, Harbin, Heilongjiang, China

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• Zhuqi Li,

  Roles Conceptualization, Writing – review & editing

  Affiliation College of Science, Northeast Forestry University, Harbin, Heilongjiang, China

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• Dongkui Chen,

  Roles Methodology

  Affiliation College of Science, Northeast Forestry University, Harbin, Heilongjiang, China

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• Wangyu Wu,

  Roles Conceptualization, Data curation

  Affiliation University of Liverpool, Liverpool, United Kingdom

  https://orcid.org/0009-0005-8404-9489

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• Xuanlong He,

  Roles Writing – review & editing

  Affiliation College of Science, Northeast Forestry University, Harbin, Heilongjiang, China

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• Hongbo Mu

  Roles Funding acquisition, Writing – review & editing

  * E-mail: mhb506@nefu.edu.cn

  Affiliation College of Science, Northeast Forestry University, Harbin, Heilongjiang, China

  https://orcid.org/0000-0002-1306-5052

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