Vis–NIR spectroscopy and machine learning methods to diagnose chemical properties in Colombian sugarcane soils

Keyphrases

• Machine Learning Techniques 100%
• Soil Samples 100%
• Chemical Properties 100%
• Soil Chemical Properties 100%
• Plant nutrition 100%
• Soil nutrition 100%
• Vis-NIR Spectroscopy 100%
• Sugarcane Soil 100%
• Colombian 100%
• Regressor 50%
• Colombia 50%
• Soil Matrix 50%
• Agriculture 50%
• Model Building 50%
• Decision-making Process 50%
• Performance Prediction 50%
• Support Vector Machine 50%
• Non-destructive 50%
• Linear Regression 50%
• Decision Support 50%
• Classification Methods 50%
• K-nearest 50%
• Naïve Bayes 50%
• Crop Management 50%
• High Production 50%
• Soil Organic Matter 50%
• Machine Learning Classifiers 50%
• Vis-NIR 50%
• Numerical Value 50%
• Non-centrifugal 50%
• Quadratic Discriminant 50%
• Binary Tree 50%
• Ensemble-based 50%
• Value Labels 50%
• Regressor Models 50%
• Soil Property Prediction 50%
• Exchangeable Ca 50%
• Linear Discriminant 50%
• Production Region 50%
• Sample Learning 50%
• Sampling Area 50%
• Na-K 50%
• Taking Action 50%
• Acceptable Accuracy 50%
• Cubist 50%
• Category Labels 50%
• Total Production 50%
• Spectral Signal 50%
• Neighbor-based 50%
• Least Absolute Shrinkage and Selection Operator (LASSO) 50%
• Support Vector Regression 50%
• Analytical Tests 50%
• Management Production 50%

Agricultural and Biological Sciences

• Soil Chemical Properties 100%
• Sugarcane Soils 100%
• Support Vector Machine 100%
• Spectroscopy 100%
• Learning System 100%
• Machine Learning 100%
• Crop Management 50%
• Plant Nutrition 50%
• Soil Property 50%
• Saccharum Officinarum 50%
• Decision Making 50%
• Soil Organic Matter 50%

INIS

• soils 100%
• machine learning 100%
• spectroscopy 100%
• sugar cane 100%
• chemical properties 100%
• ph value 30%
• production 20%
• comparative evaluations 20%
• vectors 20%
• performance 20%
• nutrition 20%
• prediction 20%
• architecture 10%
• range 10%
• tools 10%
• crops 10%
• matrices 10%
• values 10%
• colombia 10%
• signals 10%
• classification 10%
• organic matter 10%
• agriculture 10%
• construction 10%
• decision making 10%
• management 10%
• spectra 10%
• accuracy 10%
• cost 10%
• sampling 10%
• shrinkage 10%