# Meta-learning baselines and database for few-shot classification in agriculture

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/meta-learning-baselines-and-database-for-few-shot-classification-in-agriculture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yang Li,Jiachen Yang |
| Citations | 158 |
| DOI | 10.1016/j.compag.2021.106055 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3131151895 |
| Type | article |
| Year | 2021 |

## Paper authors

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

## 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/)
- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.