Using 3D reconstruction from image motion to predict total leaf area in dwarf tomato plants

Keyphrases

• 3D Reconstruction 100%
• Tomato Plant 100%
• Image Motion 100%
• Total Leaf Area 100%
• Dwarf Tomato 100%
• Alpha Shape 40%
• Leaf Area Index Estimation 40%
• Plant Growth 20%
• Non-destructive Method 20%
• Variable Environmental Condition 20%
• Destructive Behavior 20%
• RGB Image 20%
• Estimation Method 20%
• Transpiration 20%
• Regression Model 20%
• Poisson 20%
• Machine Learning 20%
• Accurate Estimation 20%
• High-speed Video 20%
• Least Absolute Shrinkage and Selection Operator (LASSO) 20%
• Multivariate Linear Regression 20%
• Greenhouse Conditions 20%
• Reconstruction Algorithm 20%
• Point Cloud 20%
• Predictive Features 20%
• Multilayer Perceptron 20%
• Photosynthetic Activity 20%
• Extreme Gradient Boosting(XGBoost) 20%
• XGBoost 20%
• Shape Reconstruction 20%
• Onion 20%
• Regression Forest 20%
• Resource Efficiency 20%
• Precision Agriculture 20%
• Multiple Angles 20%
• Ridge Regression 20%
• Plant Damage 20%
• Estimation of Total 20%
• Sustainable Food Production 20%
• Canopy Structure 20%
• Urban Agriculture 20%
• Feature Importance Analysis 20%
• Lasso Regression 20%
• Labor Intensity 20%
• Automated Pruning 20%
• Ball pivoting 20%
• Image Learning 20%
• Elastic Net Regression 20%
• Sequential 3D 20%
• Marching Cubes 20%

Agricultural and Biological Sciences

• Leaf Area 100%
• Xgboost 40%
• Nondestructive Methods 20%
• Sweating 20%
• Surface Area 20%
• Onion 20%
• Precision Agriculture 20%
• Plant Damage 20%
• Learning System 20%
• Machine Learning 20%
• Urban Farming 20%

Earth and Planetary Sciences

• Leaf Area 100%
• Xgboost 40%
• Surface Area 20%
• Machine Learning 20%
• Food Production 20%
• Pruning 20%
• Estimation Method 20%
• Precision Agriculture 20%
• Self Organizing Systems 20%
• Extreme Gradient Boosting 20%