Moisture content classification of soil and stalk residue samples from spectral data using machine learning

Earth and Planetary Sciences

• Accuracy 50%
• Agricultural Application 16%
• Algorithms 33%
• Approach 16%
• Constraint 16%
• Data Set 16%
• Datum 100%
• Difference 16%
• Improvement 16%
• Input 16%
• Investigation 33%
• Loam 50%
• Machine Learning 100%
• Moisture 16%
• Moisture Content 100%
• Narrowband 16%
• Output 16%
• Precision 16%
• Prediction 50%
• Reflectance 16%
• Regression 16%
• Residue 100%
• Sample 100%
• Soil 100%
• Square 33%
• Support Vector Machine 16%
• Water 16%
• Wavelength 16%
• Wheat 50%