# A Multimodal UAV-Based Pipeline for Precision Agriculture: Aerial Stress Detection with YOLO and High-Fidelity Disease Classification Using DeiT

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-multimodal-uav-based-pipeline-for-precision-agriculture-aerial-stress/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Naser Al-Obeidat,Zimo Li |
| Citations | 2 |
| DOI | 10.1016/j.procs.2025.03.118 |
| Fields | Agricultural and Biological Sciences,Environmental Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.1016/j.procs.2025.03.118 |
| OpenAlex ID | https://openalex.org/W4409814276 |
| Type | conference-paper |
| Year | 2025 |

## Paper authors

- [Naser Al-Obeidat](https://scholariq.org/researchers/naser-al-obeidat/)
- [Zimo Li](https://scholariq.org/researchers/zimo-li/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## 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/)
- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)
- [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.