# Using Support Vector Machines classification to differentiate spectral signatures of potato plants infected with Potato Virus Y

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-support-vector-machines-classification-to-differentiate-spectral/

## Facts

| Field | Value |
| --- | --- |
| Author Names | L. Michael Griffel,Donna Delparte,John R. Edwards |
| Citations | 109 |
| DOI | 10.1016/j.compag.2018.08.027 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2891068048 |
| Type | article |
| Year | 2018 |

## Paper authors

- [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

- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)

## Paper topics

- [Plant Virus Research Studies](https://scholariq.org/topics/plant-virus-research-studies/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [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.