# RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/rlcfe-net-a-reparameterization-large-convolutional-kernel-feature-extraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ao Guo,Zhenhong Jia,Baoquan Ge,Wei Chen,Sensen Song,Congbing He,Gang Zhou,Jiajia Wang,Xiaoyi Lv |
| Citations | 9 |
| DOI | 10.1016/j.eswa.2025.126941 |
| Fields | Agricultural and Biological Sciences,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4407943481 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Jiajia Wang](https://scholariq.org/researchers/jiajia-wang/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## 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 Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [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.