Characterization of Rice Yield Based on Biomass and SPAD-Based Leaf Nitrogen for Large Genotype Plots

Keyphrases

• Genotype 100%
• Vegetation Index 100%
• Leaf Nitrogen 100%
• Rice Yield 100%
• Machine Learning Models 50%
• Rice Genotypes 50%
• Dry Biomass 50%
• Ground Truth Data 50%
• Wet Biomass 50%
• Green Normalized Difference Vegetation Index (GNDVI) 50%
• Unmanned Aerial Vehicle Images 50%
• Biomass Gain 50%
• High Correlation 25%
• Rice 25%
• Phenotypic Characteristics 25%
• Conservation Efforts 25%
• UAV 25%
• High-resolution 25%
• Visual Information 25%
• Gaussian Process Regression 25%
• Monitoring Effort 25%
• Biomass Estimation 25%
• Rice Field 25%
• Increased Yield 25%
• Yield Prediction 25%
• Ecosystem Monitoring 25%
• Nitrogen Estimation 25%
• Vegetation Properties 25%
• Feature Matrix 25%
• Multispectral Reflectance 25%
• Photogrammetric Mapping 25%
• Ecosystem Conservation 25%
• Data Index 25%
• Correlation Factor 25%

INIS

• nitrogen 100%
• rice 100%
• genotype 100%
• yields 100%
• biomass 100%
• vegetation 50%
• unmanned aerial vehicles 30%
• ground truth 30%
• data 20%
• images 20%
• correlations 20%
• machine learning 20%
• gain 20%
• matrices 10%
• information 10%
• soils 10%
• ecosystems 10%
• randomness 10%
• monitoring 10%
• mapping 10%
• resolution 10%
• prediction 10%
• height 10%
• gaussian processes 10%

Agricultural and Biological Sciences

• Genotyping 100%
• Vegetation Index 100%
• Unmanned Aerial Vehicle 75%
• Learning System 50%
• Machine Learning 50%
• Kriging 25%