# A survey of few-shot learning in smart agriculture: developments, applications, and challenges

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-survey-of-few-shot-learning-in-smart-agriculture-developments-applications-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jiachen Yang,Xiaolan Guo,Yang Li,Francesco Marinello,Sezai Erċışlı,Zhuo Zhang |
| Citations | 140 |
| DOI | 10.1186/s13007-022-00866-2 |
| Fields | Agricultural and Biological Sciences,Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-022-00866-2 |
| OpenAlex ID | https://openalex.org/W4221086122 |
| PMID | 35248105 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yang Li](https://scholariq.org/researchers/yang-li/)

## Paper journal

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

## 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/)
- [Genomics and Phylogenetic Studies](https://scholariq.org/topics/genomics-and-phylogenetic-studies/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)

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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.