# A computationally efficient hybrid framework combining deep feature extraction and gradient boosting for early diagnosis of Olive leaf diseases

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-computationally-efficient-hybrid-framework-combining-deep-feature-extraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Uğur Şevik,Fatih Aydemir |
| Citations | 1 |
| DOI | 10.1038/s41598-025-31918-x |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-31918-x_reference.pdf |
| OpenAlex ID | https://openalex.org/W4417224444 |
| PMID | 41381664 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Uğur Şevik](https://scholariq.org/researchers/ugur-sevik/)
- [Fatih Aydemir](https://scholariq.org/researchers/fatih-aydemir/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.