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Andy VanLoocke
Iowa State UniversityMeeting roles in:
Machine Learning for Crop Water Use Estimation Across Contrasting Agroecosystems
Best Practices for Survey Chamber Measurements of N2O Emissions: Evaluation of Measurement Approaches and Data Processing Pipelines
Understanding Contextual Drivers of N2O Fluxes in Bioenergy Agricultural Soils
Using UAV LiDAR to Quantify Individual Stems of Perennial Bioenergy Crop, Miscanthus × giganteus
Crop Water Stress is Independent of Surface Soil Moisture in the U.S. Corn Belt
Machine Learning and Proximal Sensing for Predicting Biophysical Function of Managed Ecosystems
Hybrid Biophysical – Machine Learning for Diurnal Estimation of Agricultural Surface Energy Fluxes Through Proximal Sensing
Unraveling Transpiration and Soil Evaporation with Heat Pulse Sensors and the Thermal Properties That Guide Them
Modeling the major bioenergy crop Miscanthus in an agroecosystem model (Ecosys)
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