Efficient and accurate identification of maize rust disease using deep learning model Article Swipe
Pei Wang
,
Jiajia Tan
,
Yuheng Yang
,
Tong Zhang
,
Pengxin Wu
,
Xinglong Tang
,
Hui Li
,
Xiongkui He
,
Xinping Chen
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2024.1490026
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fpls.2024.1490026
Common corn rust and southern corn rust, two typical maize diseases during growth stages, require accurate differentiation to understand their occurrence patterns and pathogenic risks. To address this, a specialized Maize-Rust model integrating a SimAM module in the YOLOv8s backbone and a BiFPN for scale fusion, along with a DWConv for streamlined detection, was developed. The model achieved an accuracy of 94.6%, average accuracy of 91.6%, recall rate of 85.4%, and F1 value of 0.823, outperforming Faster-RCNN and SSD models by 16.35% and 12.49% in classification accuracy, respectively, and detecting a single rust image at 16.18 frames per second. Deployed on mobile phones, the model enables real-time data collection and analysis, supporting effective detection and management of large-scale outbreaks of rust in the field.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpls.2024.1490026
- OA Status
- gold
- Cited By
- 3
- References
- 46
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4407167550Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fpls.2024.1490026Digital Object Identifier
- Title
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Efficient and accurate identification of maize rust disease using deep learning modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-06Full publication date if available
- Authors
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Pei Wang, Jiajia Tan, Yuheng Yang, Tong Zhang, Pengxin Wu, Xinglong Tang, Hui Li, Xiongkui He, Xinping ChenList of authors in order
- Landing page
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https://doi.org/10.3389/fpls.2024.1490026Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fpls.2024.1490026Direct OA link when available
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Rust (programming language), Computer science, Stripe rust, Artificial intelligence, Pattern recognition (psychology), Biology, Plant disease resistance, Genetics, Gene, Programming languageTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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