ViX-MangoEFormer: An Enhanced Vision Transformer–EfficientFormer and Stacking Ensemble Approach for Mango Leaf Disease Recognition with Explainable Artificial Intelligence

Keyphrases

• Explainable Artificial Intelligence 100%
• Stacking Ensemble 100%
• Leaf Disease Recognition 100%
• Enhanced Vision 100%
• Mango Leaf Diseases 100%
• Matthews Correlation Coefficient 50%
• Web Application 50%
• Security Issues 50%
• F1 Score 50%
• Deep Learning 50%
• Training Model 50%
• Imbalanced Data 50%
• Self-attention 50%
• Time Prediction 50%
• Data Augmentation 50%
• Gradient-weighted Class Activation Mapping (Grad-CAM) 50%
• Data Combination 50%
• Stacking Ensemble Model 50%
• Mango 50%
• Crop Leaves 50%
• Cross-domain 50%
• Leaf Disease 50%
• Convolution Kernel 50%
• Growers 50%
• Transfer Learning Network 50%
• Prediction Probability 50%
• Crop Health Monitoring 50%
• Leaf Disease Detection 50%
• Pixel Level 50%
• Visual Inspection Method 50%
• Kernel Attention 50%
• Mango Leaves 50%
• Smart Crops 50%
• Leaf Condition 50%
• Economic Security 50%
• Probability Score 50%
• Transformer Attention 50%

Computer Science

• Explainable Artificial Intelligence 100%
• Ensemble Approach 100%
• Interpretability 50%
• Web Application 50%
• Transfer Learning 50%
• Deep Learning Method 50%
• Matthews Correlation Coefficient 50%
• Data Augmentation 50%
• Pre-Trained Model 50%
• Gradient-Weighted Class Activation Mapping 50%
• Learning Network 50%
• Visual Inspection 50%
• Inspection Method 50%
• Prediction Time 50%
• Self-Attention 50%

Psychology

• Learning Transfer 100%
• Explainable Artificial Intelligence 100%