# Binary class and multi-class plant disease detection using ensemble deep learning-based approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/binary-class-and-multi-class-plant-disease-detection-using-ensemble-deep/

## Facts

| Field | Value |
| --- | --- |
| Author Names | C. K. Sunil,C. D. Jaidhar,Nagamma Patil |
| Citations | 17 |
| DOI | 10.1504/ijsami.2022.126802 |
| Fields | Agricultural and Biological Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312835059 |
| Type | article |
| Year | 2022 |

## Paper authors

- [C. K. Sunil](https://scholariq.org/researchers/c-k-sunil/)

## Paper journal

- [International Journal of Sustainable Agricultural Management and Informatics](https://scholariq.org/journals/international-journal-of-sustainable-agricultural-management-and-informatics/)

## 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/)

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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.