Cotton Irrigation Data with Soil Sensors and UAV Imagery from Xinjiang, China

Xinjiang, China, is the geographic scope for this 6.8 GB dataset integrating climate, soil, and crop management data. Author Liang He compiled it using soil sensors and UAV technology, and it includes multi-year historical meteorological records and on-site weather station observations. The dataset was last updated on April 30, 2026, and is licensed under CC-BY-4.0.

Use Cases

• Modeling dynamic relationships between soil moisture and crop yield based on real-time sensor data.
• Optimizing irrigation management strategies based on integrated climate and soil property data.
• Training machine learning models, such as reinforcement learning or XGBoost, for agricultural prediction tasks.
• Analyzing long-term climatic impacts on cotton yields based on multi-year meteorological records.

Strengths

• Integrates multiple data modalities, including sensor readings, images, and management records.
• Includes multi-year data constructed from historical records and on-site observations.
• Dataset size is 6.8 GB, indicating substantial content volume.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the two selected research regions in Xinjiang.

Provenance

Source

figshare

Collection Method

Systematically collected using soil sensors and UAV technology, and compiled with publicly available historical records.

Time Range

Multi-year, but specific range is not stated.

Freshness

Last updated 2026-04-30 14:11:02; freshness should be verified.

Geography

One representative research region in southern Xinjiang and one in northern Xinjiang, China.