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Correction: Soybean seed pest damage detection method based on spatial frequency domain imaging combined with RL-SVM

Plant Methods volume 20, Article number: 137 (2024) Cite this article

The Original Article was published on 20 August 2024

Correction: Plant methods (2024) 20: 130

https://doi.org/10.1186/s13007-024-01257-5

In this article Guangnan Xing should have been denoted as a corresponding author.

The original article has been corrected.

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Authors and Affiliations

  1. College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, 210031, China

    Xuanyu Chen & Wei Lu

  2. College of Engineering, Nanjing Agricultural University, Nanjing, 210031, China

    Wei He

  3. Soybean Research Institute, MARA National Center for Soybean Improvement, MARA Key Laboratory of Biology and Genetic Improvement of Soybean, National Key Laboratory for Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, College of Agriculture, Nanjing Agricultural University, Nanjing, 210095, China

    Zhihao Ye, Junyi Gai & Guangnan Xing

Authors
  1. Xuanyu Chen
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  2. Wei He
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  3. Zhihao Ye
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  4. Junyi Gai
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  5. Wei Lu
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  6. Guangnan Xing
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Corresponding authors

Correspondence to Wei Lu or Guangnan Xing.

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The online version of the original article can be found at https://doi.org/10.1186/s13007-024-01257-5.

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Chen, X., He, W., Ye, Z. et al. Correction: Soybean seed pest damage detection method based on spatial frequency domain imaging combined with RL-SVM. Plant Methods 20, 137 (2024). https://doi.org/10.1186/s13007-024-01263-7

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  • DOI: https://doi.org/10.1186/s13007-024-01263-7

Plant Methods

ISSN: 1746-4811