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Bin Peng
University of Illinois Urbana-ChampaignMeeting roles in:
Climate Shapes Asymmetric Biophysical and Economic Outcomes of Large-Scale Agrivoltaics
Knowledge-Guided Graph Machine Learning Enables High-Resolution Nitrogen Transport Modeling in the Upper Mississippi River Basin
Spatiotemporal Changes and Driving Factors of Riverine Nutrient Export at HUC12 Scale in the Mississippi/Atchafalaya River Basin
Quantifying the Impact of Tile Drainage and Bioenergy Feedstock Production on Water Budget with Integrated Surface-Subsurface Hydrological Modeling
A Hybrid Modeling and Digital Twin Framework for Field-Scale Water and Nutrient Dynamics of Tile Drainage Systems
Modeling paddy rice growth and fluxes of CH4 and CO2 using the ecosys model
Digital Twins and GeoAI: Revolutionizing the Future of Sustainable Agriculture
Spatiotemporal Patterns and Driving Factors of Event-scale Nitrate Concentration and Discharge Relationship in the Upper Mississippi River Basin
From Predictions to Patterns with AI: A Differentiable SPARROW Framework for Improved Water Quality Prediction and Attribution
Water, Agriculture, and Conservation: Sustaining Agricultural Production and Healthy Watersheds I Oral
Water, Agriculture, and Conservation: Sustaining Agricultural Production and Healthy Watersheds II Oral
Modeling watershed nitrogen loss responses to cover cropping in the Upper Mississippi River Basin
Developing a Targeted Conservation Framework for Nitrogen Loss Reduction Based on Watershed Typology in the Upper Mississippi River Basin
Enhancing Cropland Waterlogging Detection in the Prairie Pothole Region with Deep-Learning-based Large-Scale Segmentation of PlanetScope Imagery
Water, Agriculture, and Conservation: Sustaining Agricultural Production and Healthy Watersheds III Poster
VPD-induced yield loss in U.S. cotton and potential for its mitigation
Sustainable Agriculture and Climate Change: Toward Decarbonization of Agrifood Systems I Oral
Bridging Spatial Gaps in Crop Yield Mapping to Support Climate-Resilient Agriculture via Knowledge-Guided Graph Neural Networks
Modeling the major bioenergy crop Miscanthus in an agroecosystem model (Ecosys)
Sustainable Agriculture and Climate Change: Toward Decarbonization of Agrifood Systems II Poster
The Impact of Various Tillage on Nitrogen Loss from Agricultural Fields: A Meta-analysis
Minimal sampling, maximum insight: A deep learning BRIDGE framework for regional carbon assessment
Investigating Tile Drainage Impacts on Hydrological Connectivity and River Flashiness in Agricultural Watersheds of the U.S. Midwest by Integrated Surface-Subsurface Hydrological Modeling
Unveiling the role of groundwater in hydrology and nitrate transport: insights from model structure intercomparison over an agricultural watershed in the U.S. Corn Belt
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