# Detection of Potato Virus Y in plant foliage using convolutional neural network classifiers and hyperspectral imagery

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/detection-of-potato-virus-y-in-plant-foliage-using-convolutional-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | L.M. Griffel,Donna Delparte |
| Citations | 2 |
| DOI | 10.1016/j.compag.2026.111499 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7126250365 |
| Type | article |
| Year | 2026 |

## Paper authors

- [L.M. Griffel](https://scholariq.org/researchers/l-m-griffel/)
- [Donna Delparte](https://scholariq.org/researchers/donna-delparte/)

## Paper journal

- [Computers and Electronics in Agriculture](https://scholariq.org/journals/computers-and-electronics-in-agriculture/)

## 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/)
- [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.