The influence of aerial hyperspectral image processing workflow on nitrogen uptake prediction accuracy in maize

Keyphrases

• Image Processing 100%
• Nitrogen Uptake 100%
• Prediction Accuracy 100%
• Maize 100%
• Aerial 100%
• Image Processing Workflow 100%
• Hyperspectral Image Processing 100%
• Processing Stages 60%
• Hyperspectral 40%
• Model Accuracy 40%
• Root Mean Square Error 40%
• Minnesota 20%
• High-resolution 20%
• Image Quality 20%
• Unmanned Aerial Systems 20%
• Remote Sensing 20%
• Partial Least Squares Structural Equation Modeling (PLS-SEM) 20%
• Developmental Stages 20%
• Prediction Model 20%
• Image Data 20%
• Sensitivity Analysis 20%
• Least Absolute Shrinkage and Selection Operator (LASSO) 20%
• Model Performance 20%
• Machine Learning Applications 20%
• Image Processing Method 20%
• Regression Learning 20%
• Affect Prediction 20%
• Hyperparameter Tuning 20%
• Semi-supervised Regression 20%
• Spectral Smoothing 20%
• High Resolution Hyperspectral 20%
• Relative Root Mean Square Error (RRMSE) 20%

Earth and Planetary Sciences

• Image Processing 100%
• Hyperspectral Image 100%
• Minnesota 11%
• United States of America 11%
• Machine Learning 11%
• Reflectance 11%
• Remote Sensing 11%