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Sheng Wang
University of Illinois Urbana-ChampaignMeeting roles in:
Digital Twins and GeoAI: Revolutionizing the Future of Sustainable Agriculture
Improving Simulation of Soybean Canopy Photosynthesis by Incorporating Realistic 3D Canopy Structure
Cross-scale Multi-task Deep Learning for Tillage Practice Monitoring using Multi-Source Remote Sensing Observations
Spatiotemporal Yield Estimation of Four Major Crops in Canadian Prairies using Remote Sensing and Environmental Data
Monitoring Phenotypic Variation Across Diverse Cover Crop Species and Assessing Their Impacts on Subsequent Corn Production via Airborne-Satellite Cross-Scale Sensing
A Phenology-Aligned Multi-Task Temporal Fusion Framework for Satellite-Based Seasonal Rice Yield Estimation in Southeast Asia
Enhancing Cropland Waterlogging Detection in the Prairie Pothole Region with Deep-Learning-based Large-Scale Segmentation of PlanetScope Imagery
Monitoring Crop Nitrogen Status Across the US Corn Belt Using Airborne-Satellite Cross-Scale Sensing
Agricultural Ammonia Emissions and Source Attribution over the Conterminous United States
The impact of biomass on the performance of remote sensing-based detection of cover crops in the Mid-Atlantic
Improving Simulation of Soybean Canopy Photosynthesis by Incorporating Realistic 3D Canopy Structure
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