# vCrop: an automated plant disease prediction using deep ensemble framework using real field images

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/vcrop-an-automated-plant-disease-prediction-using-deep-ensemble-framework-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | R. Kavitha Lakshmi,S. Nickolas |
| Citations | 8 |
| DOI | 10.1007/s12046-022-02041-8 |
| Fields | Agricultural and Biological Sciences,Chemistry,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4311649258 |
| Type | article |
| Year | 2022 |

## Paper authors

- [R. Kavitha Lakshmi](https://scholariq.org/researchers/r-kavitha-lakshmi/)

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