# Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/instance-segmentation-for-the-fine-detection-of-crop-and-weed-plants-by/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Julien Champ,Adán Mora-Fallas,Hervé Goëau,Erick Mata‐Montero,Pierre Bonnet,Alexis Joly |
| Citations | 125 |
| DOI | 10.1002/aps3.11373 |
| Fields | Agricultural and Biological Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bsapubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/aps3.11373 |
| OpenAlex ID | https://openalex.org/W3045780708 |
| PMID | 32765972 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Hervé Goëau](https://scholariq.org/researchers/herve-goeau/)
- [Pierre Bonnet](https://scholariq.org/researchers/pierre-bonnet/)
- [Alexis Joly](https://scholariq.org/researchers/alexis-joly/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Plant Surface Properties and Treatments](https://scholariq.org/topics/plant-surface-properties-and-treatments/)

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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.