Strawberry Disease Images with Environmental Parameters and Variety Data

A multimodal dataset for strawberry disease detection contains image data, environmental parameters, and variety information. It was authored by Qin2006 and last updated on 2026-04-19. The dataset is intended for studying correlations between environmental factors and disease occurrence.

Use Cases

• Train disease detection models based on strawberry image data mentioned in the description
• Study correlations between disease occurrence and environmental factors like air temperature, humidity, and soil moisture
• Develop multimodal fusion algorithms that combine visual and environmental sensor data
• Analyze disease susceptibility across different strawberry varieties

Strengths

• Multimodal structure combining images, environmental parameters, and variety data
• Explicitly designed for studying correlations between environmental factors and disease
• Last updated on 2026-04-19, indicating recent maintenance

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count, file formats, and license are unknown, which may limit suitability assessment

Provenance

Source

huggingface user Qin2006

Collection Method

Collection method is not described in the provided metadata.

Time Range

Temporal coverage is not specified.

Freshness

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

Geography

Spatial coverage is not specified.