HD
Hamze Dokoohaki
Principal Investigator
University of Illinois, Urbana-Champaign
I'm working on
9 months ago
Crop modeling, soil hydrology, data assimilation
About
Focuses on process-based crop and soil-water modeling, fusing field, tower, and satellite data to quantify and reduce predictive uncertainty in yield, water, nutrient, and carbon outcomes. Runs regional simulations to evaluate climate and management impacts and inform resilient production.
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University of Illinois, Urbana-Champaign
Machine Learning-Augmented Model-Data Fusion for Soil Organic Carbon Prediction
A research collaboration that embeds machine learning algorithms into model-data fusion frameworks to improve soil organic carbon (SOC) predictions in agricultural soils. By combining process-based crop models, ML, and s...
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University of Illinois, Urbana-Champaign
Crop yield forecasting model integrating radiative transfer models with remote sensing data assimilation
A novel approach to crop yield forecasting that couples process-based crop models directly with Radiative Transfer Models, using vegetative indices and spectral signatures to improve predictability of crop biomass and yi...
TechnologyConceptualUniversity
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