An intelligent method for detection of small target fungal wheat spores based on an improved YOLOv5 with microscopic images
Abstract Wheat is significantly impacted by fungal diseases, which result in severe economic losses. These diseases result from pathogenic spores invading wheat. Rapid and accurate detection of these spores is essential for post-harvest contamination risk assessment and early warning. Traditional de...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
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| Series: | Plant Methods |
| Online Access: | https://doi.org/10.1186/s13007-025-01436-y |
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