# Few-Shot Generative Deep Learning for Cross-Regional Identification of Rare Banana Sigatoka Infections

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/few-shot-generative-deep-learning-for-cross-regional-identification-of-rare/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Premanandh Jagadeesan,D. Senthil Kumar,P. Sathish,S. Deepa,B. Mythili,B. Swapna |
| Citations | 0 |
| DOI | 10.1109/iceamst67459.2025.11335605 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7125529044 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Premanandh Jagadeesan](https://scholariq.org/researchers/premanandh-jagadeesan/)
- [P. Sathish](https://scholariq.org/researchers/p-sathish/)
- [B. Mythili](https://scholariq.org/researchers/b-mythili/)
- [D. Senthil Kumar](https://scholariq.org/researchers/d-senthil-kumar/)
- [B. Swapna](https://scholariq.org/researchers/b-swapna/)

## 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/)
- [Banana Cultivation and Research](https://scholariq.org/topics/banana-cultivation-and-research/)
- [Plant Pathogenic Bacteria Studies](https://scholariq.org/topics/plant-pathogenic-bacteria-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.