A hybrid vision transformer and ResNet18 based model for biotic rice leaf disease detection
The proposed hybrid model ViT-ResNet18 shows a 5%, 1%, and 1% improvement in accuracy compared to VGG16 with Neural Network, Inception V3 with Neural Network, and SqueezeNet with Neural Network classifier, respectively.
Authors
- Somula Ramasubbareddy (ORCID: https://orcid.org/0000-0002-3306-6589)
- Sankar Sennan
- Yongyun Cho (ORCID: https://orcid.org/0000-0002-4855-4163)
- Selvaganapathi Sennan
Institutions
- Sunchon National University (KR)
- Symbiosis International University (IN)
- HEM Technologies (United States) (US)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-11-14
- DOI
- https://doi.org/10.3389/fpls.2025.1711700
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Iran Telecommunication Research Center
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion
- Division of Human Resource Development