# HYBRID CNN–VISION TRANSFORMER FRAMEWORK WITH ENSEMBLE LEARNING FOR MULTITASK PLANT DISEASE AND SEVERITY CLASSIFICATION

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-cnn-vision-transformer-framework-with-ensemble-learning-for-multitask/

## Facts

| Field | Value |
| --- | --- |
| Author Names | G. Sumalatha |
| Citations | 1 |
| DOI | 10.12732/ijam.v38i9s.894 |
| Fields | Agricultural and Biological Sciences,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://ijamjournal.org/ijam/publication/index.php/ijam/article/download/894/824 |
| OpenAlex ID | https://openalex.org/W4416104969 |
| Type | article |
| Year | 2025 |

## Paper authors

- [G. Sumalatha](https://scholariq.org/researchers/g-sumalatha/)

## Paper journal

- [International Journal of Apllied Mathematics](https://scholariq.org/journals/international-journal-of-apllied-mathematics/)

## 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/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Advanced Data and IoT Technologies](https://scholariq.org/topics/advanced-data-and-iot-technologies/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.