Hybrid attention network for citrus disease identification, CAS Q1

Computer Science

• Attention (Machine Learning) 100%
• Backbone Network 33%
• Complex Background 16%
• Complex Environment 16%
• Convolution Kernel 33%
• Dimensional Feature 16%
• Diverse Background 16%
• Experimental Result 16%
• Feature Extraction 16%
• Feature Information 33%
• Frequency Domain 100%
• Healthy Control 16%
• Identification Model 33%
• Key Information 16%
• Negative Impact 16%
• Network Inference 16%
• Network Layer 16%
• Perceptual Field 16%
• Recognition Accuracy 16%
• Residual Neural Network 16%
• Wavelet Transforms 16%

Agricultural and Biological Sciences

• Canker 7%
• Citrus 100%
• Sooty Molds 7%
• Spine 15%

Biochemistry, Genetics and Molecular Biology

• Citrus 100%
• Feature Extraction 7%
• Mould 7%