# Deep learning-based detection of strawberry fruit and ripeness in smart farming -- First review of architectures, real-world studies, and challenges

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-detection-of-strawberry-fruit-and-ripeness-in-smart-farming/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohieddine Jelali,Fabian Gerz,Orhan-Timo Altan,Loui Al-Shrouf |
| Citations | 0 |
| DOI | 10.21203/rs.3.rs-9430430/v1 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.researchsquare.com/article/rs-9430430/latest.pdf |
| OpenAlex ID | https://openalex.org/W7156709676 |
| Type | preprint |
| Year | 2026 |

## Paper authors

- [Fabian Gerz](https://scholariq.org/researchers/fabian-gerz/)

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

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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.