Fruit Leaf Diseases Classification: A Hierarchical Deep Learning Framework

Computer Science

• Activation Function 33%
• Average Pooling 33%
• Classification Accuracy 33%
• Computational Time 33%
• Computer Vision 66%
• Data Augmentation 33%
• Deep Learning Method 100%
• Deep Transfer Learning 33%
• Feature Extraction 100%
• Feature Fusion 33%
• Feature Selection 66%
• Hybrid Approach 33%
• image feature 33%
• Learning Framework 100%
• Learning System 33%
• Machine Learning 33%
• Model Accuracy 33%
• Optimization Algorithm 33%
• segmented image 33%

Chemical Engineering

• Deep Learning Method 100%
• Learning System 50%

Biochemistry, Genetics and Molecular Biology

• Disease Classification 100%