Spectral-Based Classification of Plant Species Groups and Functional Plant Parts in Managed Permanent Grassland

Keyphrases

• Plant Parts 100%
• Plant Species 100%
• Plant Classification 100%
• Functional Plants 100%
• Spectral Bases 100%
• Permanent Grassland 100%
• Grassland Vegetation 75%
• Data Preprocessing 50%
• Partial Least Squares Discriminant Analysis (PLS-DA) 50%
• Random Forest 25%
• Classification Accuracy 25%
• Machine Learning Models 25%
• Future Information 25%
• Functional Traits 25%
• Spectral Information 25%
• Grassland 25%
• Pixel-wise 25%
• Hyperspectral 25%
• Grass 25%
• Overall Modeling 25%
• Radiometric Data 25%
• Hyperspectral Imaging 25%
• Perceptron 25%
• Site-specific Management 25%
• Part Classification 25%
• Functional Feed 25%
• Typical Grassland 25%
• Trait Value 25%
• Data Calibration 25%
• Radiometric Calibration 25%
• Perceptron Model 25%
• Feeding Value 25%
• Legumes 25%
• Livestock Feeding 25%
• Botanical Composition 25%
• Laboratory Settings 25%
• Model Evaluation 25%
• Preprocessing Step 25%
• Decreased Performance 25%
• Random Forest Model 25%
• Cross-validation Accuracy 25%

Agricultural and Biological Sciences

• Grassland 100%
• Permanent Grasslands 100%
• Discriminant Analysis 50%
• Least Squares Method 50%
• Hyperspectral Image 50%
• Random Forest 50%
• Herbs 25%
• Livestock Feeding 25%
• Botanical Composition 25%
• Poaceae 25%
• Nutritive Value 25%
• Learning System 25%
• Machine Learning 25%
• Functional Trait 25%

Earth and Planetary Sciences

• Grassland 100%
• Plant Specie 100%
• Hyperspectral Image 50%
• Self Organizing Systems 50%
• Grassland Vegetation 50%
• Discriminant Analysis 50%
• Data Acquisition 25%
• Nutritive Value 25%
• Functional Trait 25%
• Machine Learning Model 25%