Soil salinity estimation of sparse vegetation based on multispectral image processing and machine learning

Keyphrases

• Machine Learning 100%
• Multispectral Image Processing 100%
• Soil Salinity 100%
• Sparse Vegetation 100%
• Soil Degradation 66%
• Peru 33%
• Soil Samples 33%
• Semi-arid Area 33%
• Soil Wind Erosion 33%
• Agricultural Activities 33%
• Irrigation 33%
• Conductivity Measurement 33%
• Salinity Index 33%
• Salinization 33%
• Desertification 33%
• Low Vegetation 33%
• Relative Conductivity 33%
• Environmental Hazards 33%
• Index-based 33%
• Linear Regression Technique 33%
• Field Sampling 33%
• High Correlation 33%
• Electrical Conductivity 33%
• Measurements In-situ 33%
• Peruvian Coast 33%
• Water Pollution 33%
• Field Laboratory 33%
• Nutrient Loss 33%
• Multispectral Imaging 33%
• Soil Water Erosion 33%
• Soil Structure 33%

Earth and Planetary Sciences

• Multispectral Image 100%
• Image Processing 100%
• Machine Learning 100%
• Soil Salinity 100%
• Vegetation 100%
• Soil Degradation 66%
• Peru 33%
• In Situ Measurement 33%
• Salinity 33%
• Environmental Hazard 33%
• Salinization 33%
• Water Erosion 33%
• Electrical Resistivity 33%
• Soil Water 33%
• Soil Structure 33%