Mm Straw5: Strawberry Disease Images with Environmental Parameters

The Strawberry Disease Multimodal Dataset by Qin2006 contains strawberry image data paired with environmental parameters and variety information. It is designed for studying correlations between environmental factors and disease occurrence, as well as multimodal fusion detection algorithms. The dataset was last updated on HuggingFace on 2026-04-19.

Use Cases

• Training multimodal disease detection models based on image and sensor data fusion.
• Analyzing correlations between air temperature, humidity, soil moisture, and strawberry disease occurrence.
• Developing predictive models for plant health based on environmental parameters and variety information.

Strengths

• Dataset integrates multiple data modalities: images, environmental parameters, and variety information.
• Explicitly designed for studying multimodal fusion algorithms for disease detection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license information are unknown.
• Freshness should be verified as the last update timestamp is in the future (2026-04-19).

Provenance

Source

Qin2006 on HuggingFace

Freshness

Last updated 2026-04-19 11:28:02