AI-Powered Tea Leaf Disease Detection: Improving Accuracy with Attention and Visualization
Published:Dec 19, 2025 16:11
•1 min read
•ArXiv
Analysis
This research explores the application of AI, specifically attention mechanisms and Grad-CAM visualization, to improve tea leaf disease recognition. The use of these techniques has the potential to enhance the accuracy and interpretability of AI-based disease detection in agriculture.
Key Takeaways
- •Focuses on improving the accuracy of tea leaf disease recognition using AI.
- •Employs attention mechanisms to enhance the model's focus on relevant features.
- •Utilizes Grad-CAM visualization for improved interpretability of the AI's decisions.
Reference
“The study utilizes attention mechanisms and Grad-CAM visualization for improved disease detection.”