# VNIR Hyperspectral Signatures for Early Detection and Machine-Learning Classification of Wheat Diseases

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/vnir-hyperspectral-signatures-for-early-detection-and-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rimma Ualiyeva,Mariya M. Kaverina,А. В. Осипова,Yernar B. Kairbayev,Sayan Zhangazin,Nurgul Iksat,Nariman B. Mapitov |
| Citations | 4 |
| DOI | 10.3390/plants14233644 |
| Fields | Agricultural and Biological Sciences,Computer Science,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.3390/plants14233644 |
| OpenAlex ID | https://openalex.org/W4416940913 |
| PMID | 41375355 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Yernar B. Kairbayev](https://scholariq.org/researchers/yernar-b-kairbayev/)

## Paper primary topic

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Paper topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

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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.