# Few-Shot Learning for Plant Disease Detection using DeepBDC

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/few-shot-learning-for-plant-disease-detection-using-deepbdc/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rakesh Ranjan,Jyoti Singh,Ankit Kumar Titoriya |
| Citations | 0 |
| DOI | 10.21203/rs.3.rs-6569821/v1 |
| Fields | Agricultural and Biological Sciences,Engineering,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.researchsquare.com/article/rs-6569821/latest.pdf |
| OpenAlex ID | https://openalex.org/W4410417664 |
| Type | preprint |
| Year | 2025 |

## Paper authors

- [Rakesh Ranjan](https://scholariq.org/researchers/rakesh-ranjan/)
- [Jyoti Singh](https://scholariq.org/researchers/jyoti-singh/)
- [Ankit Kumar Titoriya](https://scholariq.org/researchers/ankit-kumar-titoriya/)

## Paper journal

- [Research Square](https://scholariq.org/journals/research-square/)

## 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/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Wireless Sensor Networks and IoT](https://scholariq.org/topics/wireless-sensor-networks-and-iot/)

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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.