Tiny-ViT: A Compact Vision Transformer for Efficient and Explainable Potato Leaf Disease Classification

1. 1Implement Tiny-ViT model for potato leaf disease classification
2. 2Use the model for early and precise identification of plant diseases
3. 3Integrate the model into agricultural systems for automated disease detection
4. 4Evaluate the model's performance and explainability

Data scientists and AI engineers on a team can benefit from Tiny-ViT as it provides an efficient and explainable solution for potato leaf disease classification, which can be integrated into agricultural systems

💡 Tiny-ViT provides an efficient and explainable solution for potato leaf disease classification, which can help reduce yield losses and pesticide use

🌿💡 Tiny-ViT: A compact vision transformer for efficient potato leaf disease classification