# YOLO-RBSD: an efficient and accurate rice blast spore detector based on improved YOLOv8

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/yolo-rbsd-an-efficient-and-accurate-rice-blast-spore-detector-based-on-improved/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chunhong Li,Dong Huang,Huiru Zhou |
| Citations | 0 |
| DOI | 10.1186/s13007-026-01526-5 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology,Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1186/s13007-026-01526-5 |
| OpenAlex ID | https://openalex.org/W7150021022 |
| PMID | 41937133 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Huiru Zhou](https://scholariq.org/researchers/huiru-zhou/)

## Paper journal

- [Plant Methods](https://scholariq.org/journals/plant-methods/)

## Paper primary topic

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)

## Paper topics

- [Cell Image Analysis Techniques](https://scholariq.org/topics/cell-image-analysis-techniques/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.