Apple Leaf Disease Images from Northwest China, Lab and Field Conditions

Images of apple leaf diseases were collected from four experimental stations of Northwest University of Agriculture and Forestry Science and Technology in Northwest China. The dataset includes pictures of alternating leaf spot, gray spot, brown spot, and rust, taken with a mobile phone under different weather conditions and times of day. Approximately 51.9% of images were taken in a laboratory and 48.1% in real cultivation fields.

Use Cases

• Train image segmentation models to identify disease boundaries based on annotated leaf images.
• Develop disease classification models based on visual symptoms of alternating leaf spot, gray spot, brown spot, and rust.
• Test model robustness on images taken under different lighting and weather conditions mentioned in the description.
• Compare model performance on controlled laboratory images versus real-world field images.

Strengths

• Images were collected from four different apple experimental demonstration stations, suggesting multiple sources.
• Dataset includes images from both laboratory (about 51.9%) and real cultivation field (about 48.1%) environments.
• Covers four specific apple leaf diseases: alternating leaf spot, gray spot, brown spot, and rust.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Northwest University of Agriculture and Forestry Science and Technology

Collection Method

Images were taken using a Glory V10 mobile phone at experimental stations.

Geography

Northwest China