Impact of calibrating a low-cost capacitance-based soil moisture sensor on AquaCrop model performance

Keyphrases

• AquaCrop 60%
• AquaCrop Model 100%
• Biomass Simulation 20%
• Calibration Method 20%
• Capacitance 100%
• Crop Growth 20%
• Crop Modeling 40%
• Crop Production 20%
• Crop Water 20%
• Crop Water Productivity 20%
• Cropping Season 20%
• Data-scarce Regions 20%
• Dry-down 20%
• Ecohydrology 20%
• Field Validation 20%
• Gravimetric Method 20%
• India 20%
• Indo-Gangetic Plain 20%
• Irrigation Management 40%
• Kanpur 20%
• Laboratory Calibration 20%
• Least Squares Learning 20%
• Low-cost Sensors 40%
• Machine Learning Algorithms 20%
• Machine Learning Models 20%
• Model Calibration 20%
• Model Overfitting 20%
• Model Performance 100%
• Model Simulating 20%
• Open-source Model 20%
• Piecewise Linear Regression 20%
• Poor Performance 20%
• Predictive Ability 20%
• Reference Sensor 20%
• Regression Calibration 20%
• Secondary Standard 20%
• Sensor Calibration 60%
• Sensor Cost 20%
• Sensor Data 60%
• Soil Hydraulic Parameters 20%
• Soil Moisture 20%
• Soil Moisture Monitoring 20%
• Soil Moisture Sensor 100%
• Soil Moisture Simulation 20%
• Soil Water 20%
• Water Environment 20%
• Water Model 20%
• Water Productivity 20%
• Wheat Cropping 20%

Agricultural and Biological Sciences

• Crop Water Model 12%
• Field Technique 12%
• Irrigation Management 25%
• Least Square 12%
• Soil Moisture 100%
• Soil Water 12%