Enhanced plant disease classification with attention-based convolutional neural network using squeeze and excitation mechanism
The proposed architecture is also validated on a potato leaf disease dataset of 4,062 images from Central Punjab, Pakistan, achieving a 97.77% accuracy in classifying Healthy, Early Blight, and Late Blight classes.
Authors
- Charan Ravi
- L. Jani Anbarasi
- Karthikeyan Shanmugam
- Sathiya Narayanan
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Journal
- Frontiers in Artificial Intelligence
- Published
- 2025-08-12
- DOI
- https://doi.org/10.3389/frai.2025.1640549
- Citations
- 3
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 5.25