Visualization and characterization of agricultural sprays using machine learning based digital inline holography

Keyphrases

• Digital Holography 100%
• Machine Learning Based 100%
• Agricultural Spray 100%
• In-line Holography 80%
• Spray Nozzle 60%
• U-Net 60%
• Machine Learning Algorithms 40%
• National Institute of Standards 40%
• Indian Institute of Technology 40%
• VGG16 40%
• Neural Network 20%
• Data Augmentation 20%
• Spatial Resolution 20%
• Droplet Size 20%
• Glass Beads 20%
• Characterization Techniques 20%
• Processing Speed 20%
• Measurement Techniques 20%
• Number Density 20%
• Accuracy Rate 20%
• Training Data 20%
• Point Spread Function 20%
• Optical Field 20%
• Momentum Flux 20%
• Relative Velocity 20%
• Mass Flux 20%
• 3D Point 20%
• Volume Distribution 20%
• Hologram 20%
• Machine Learning-based Approach 20%
• Accurate Characterization 20%
• Spray Characteristics 20%
• Minimum Intensity Projection 20%
• Robust Machine Learning 20%
• Droplet Pair 20%
• Efficient Machine Learning 20%
• Cumulative Volume 20%
• Droplet Density 20%
• Spray Measurement 20%
• Crop Protection Products 20%
• Spray Characterization 20%
• System Measurement 20%
• Slow Speed 20%
• In-field Performance 20%

Engineering

• Learning System 100%
• Digital in-Line Holography 50%
• Number Density 25%
• Measurement System 12%
• Size Range 12%
• Optical Field 12%
• Momentum Flux 12%
• Relative Velocity 12%
• Field Performance 12%
• Holograms 12%
• Droplet Size 12%
• Product Protection 12%
• Spatial Resolution 12%
• Mass Transfer 12%
• Point Spread Function 12%
• Glass Bead 12%

Chemical Engineering

• Learning System 100%
• Neural Network 12%