CropClimateX: Multi-modal US Agriculture Monitoring
Catalog Summary
"CropClimateX integrates satellite imagery, weather, and soil data across 1,527 US counties, enabling multi-task learning for yield prediction and climate impact analysis in agriculture."
Catalog Notes
Big Data for Climate-Aware Farming
CropClimateX is a comprehensive 'minicube' dataset designed for large-scale environmental analysis and sustainable farming management.
Data Integration
- Remote Sensing: Satellite imagery tracking crop growth cycles (2018–2022).
- Climate Data: Real-time logs of temperature extremes and precipitation.
- Soil Metrics: Granular composition data for 1,527 US counties.
Applications
Perfect for Yield Prediction and identifying the impact of extreme weather events like droughts or floods on national food security.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Dataset
Höhl, A., Ofori-Ampofo, S., Fernández-Torres, M. Á., & others (2026). A large-scale, multitask, multisensory dataset for climate-aware crop monitoring in the US from 2018–2022. {Scientific Data. [Dataset]. {Nature Portfolio. https://doi.org/10.1038/s41597-026-06611-x
Source metadata: {Nature Portfolio (2026) · DOI: 10.1038/s41597-026-06611-x
Indexed by IoTDataset.com on Feb 13, 2026
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