# Coffee plant disease identification with an attentive multi-image segmentation framework (MISF) with CycleGAN

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/coffee-plant-disease-identification-with-an-attentive-multi-image-segmentation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Savitri Kulkarni,P. Deepa Shenoy,K R Venugopal |
| Citations | 3 |
| DOI | 10.1016/j.iswa.2025.200534 |
| Fields | Agricultural and Biological Sciences,Chemistry,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.iswa.2025.200534 |
| OpenAlex ID | https://openalex.org/W4410351951 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Savitri Kulkarni](https://scholariq.org/researchers/savitri-kulkarni/)
- [P. Deepa Shenoy](https://scholariq.org/researchers/p-deepa-shenoy/)
- [K R Venugopal](https://scholariq.org/researchers/k-r-venugopal/)

## Paper journal

- [Intelligent Systems with Applications](https://scholariq.org/journals/intelligent-systems-with-applications/)

## 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/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

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