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Inbal Becker-Reshef
University of MarylandMeeting roles in:
Targeting Field Data Collection for Effective Agricultural Monitoring and Disaster Relief with Earth Observation and Machine Learning
Within-season, National-scale crop area estimation in Ukraine using Machine Learning and synergistic Sentinel-1 and Sentinel-2 satellite data without field surveys
Deploying GeoAI Systems in Real-World Agricultural Applications
Observational estimates of increasing maize yield variance due to climate change
Combining PACE Hyperspectral Observations and Crop Models for In-Season Yield Prediction
Harvest2Market: Tools for Contextualizing Agricultural Production and Food Security
Evaluating Conflict Effects in Sudanese Agriculture
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