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CropClimateX: Multi-modal US Agriculture Monitoring

Agriculture
Feb 13, 2026
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Abstract

"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."

Description

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 External

Cite This Dataset 

Höhl, A., Ofori-Ampofo, S., Fernández-Torres, M. Á., & others (2026). CropClimateX: Multi-modal US Agriculture Monitoring. {Scientific Data. [Dataset]. {Nature Portfolio. https://doi.org/10.1038/s41597-026-06611-x

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Original source: {Nature Portfolio (2026). Visit official page for more details.

Indexed by IoTDataset.com on Feb 13, 2026

Ready to Start Your Research?

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Related Topics & Keywords

#Climate Change #Satellite Imagery #Big Data #Yield Prediction #Nature

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