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

Abstract

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.

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 ChenView author publications

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2. Wei HeView author publications

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3. Zhihao YeView author publications

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4. Junyi GaiView author publications

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5. Wei LuView author publications

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6. Guangnan XingView author publications

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Corresponding authors

Correspondence to Wei Lu or Guangnan Xing.

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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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• Published: 09 September 2024

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

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