# PD-YOLO: a novel weed detection method based on multi-scale feature fusion

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pd-yolo-a-novel-weed-detection-method-based-on-multi-scale-feature-fusion/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shengzhou Li,Zihan Chen,Jialong Xie,Hewei Zhang,Jianwen Guo |
| Citations | 18 |
| DOI | 10.3389/fpls.2025.1506524 |
| Fields | Agricultural and Biological Sciences,Computer Science,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2025.1506524/pdf |
| OpenAlex ID | https://openalex.org/W4409275343 |
| PMID | 40265119 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Shengzhou Li](https://scholariq.org/researchers/shengzhou-li/)
- [Jialong Xie](https://scholariq.org/researchers/jialong-xie/)

## Paper journal

- [Frontiers in Plant Science](https://scholariq.org/journals/frontiers-in-plant-science/)

## Paper primary topic

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Paper topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

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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.