High precision control and deep learning-based corn stand counting algorithms for agricultural robot

Keyphrases

• Deep Learning Methods 100%
• Ultra-compact 100%
• Agricultural Robot 100%
• Counting Algorithm 100%
• High Precision Control 100%
• Corn Stand Counting 100%
• Plant Traits 66%
• Corn Plant 66%
• Ground Robots 66%
• Learning-based 33%
• Robot Base 33%
• Correlation Coefficient 33%
• Robot Sensors 33%
• Tracking Model 33%
• Computer Vision Algorithms 33%
• Visual Tracking 33%
• Autonomous Fields 33%
• Emergence Rate 33%
• Nonlinear Model Predictive Control 33%
• Agricultural Operations 33%
• Autonomous Robots 33%
• Field Robots 33%
• Manual Measurement 33%
• Path Tracking 33%
• Emergence Stage 33%
• Deep Network 33%
• Mean Relative Error 33%
• Wheel-terrain Interaction 33%
• Terrain Parameters 33%
• Biomass Vigour 33%
• Moving Horizon Estimator 33%

Engineering

• Robot 100%
• Deep Learning 100%
• Collected Data 12%
• Relative Error 12%
• Nonlinear Model 12%
• Ground Truth 12%
• Predictive Control Model 12%
• Manual Measurement 12%

Agricultural and Biological Sciences

• Maize 100%
• Zea Mays 40%
• Nonlinear Model 20%