# Deep learning-based segmentation of multiple species of weeds and corn crop using synthetic and real image datasets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-segmentation-of-multiple-species-of-weeds-and-corn-crop/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Artzai Picón,Miguel G. San-Emeterio,Arantza Bereciartúa-Pérez,Christian Klukas,Till Eggers,Ramón Navarra-Mestre |
| Citations | 81 |
| DOI | 10.1016/j.compag.2022.106719 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.compag.2022.106719 |
| OpenAlex ID | https://openalex.org/W4210380580 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Artzai Picón](https://scholariq.org/researchers/artzai-picon/)
- [Miguel G. San-Emeterio](https://scholariq.org/researchers/miguel-g-san-emeterio/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-agriculture/)

## 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/)
- [Date Palm Research Studies](https://scholariq.org/topics/date-palm-research-studies/)
- [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.