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AgriBerry Vision Raw Images
This dataset contains raw georeferenced field imagery collected for:
AgriBerry Vision: A Sprayer-Mounted Georeferenced Imaging Module for Strawberry Phenology Monitoring
The dataset is paired with the processing code at:
https://github.com/Sycamorers/AgriBerry-Vision
Contents
The image archive is stored as:
abv_raw_images_data.tar.gz
Extracting the archive restores the expected pipeline input folder:
data/
{date}/
{box}/
{trial}/
*.jpg
Filename Metadata
Image filenames encode acquisition timestamp and GNSS coordinates:
2026_01_15_17-29-09-934_lat29.40424481333333_lon-82.1418702.jpg
The associated code parses latitude and longitude from the lat... and lon... filename tokens, then aggregates repeated observations by rounded GPS coordinates.
Local Summary
| Date | Box | Trial | Images | Size MB |
|---|---|---|---|---|
| 260316 | box1 | dc_4 | 763 | 454.427 |
| 260316 | box2 | dc_4 | 866 | 437.898 |
| 260316 | box3 | dc_4 | 609 | 533.663 |
| 260324 | box1 | dc_1 | 976 | 427.761 |
| 260324 | box2 | dc_1 | 721 | 290.386 |
| 260324 | box3 | dc_1 | 711 | 390.922 |
Total: 4,646 JPG images, approximately 2.54 GB before compression.
Intended Use
The images support strawberry phenology monitoring from a sprayer-mounted imaging module. The companion code exports QGIS-ready point layers for flower, green fruit, white fruit, pink fruit, red fruit, and canopy metrics.
Citation
If you use this dataset, cite the accompanying manuscript:
AgriBerry Vision: A Sprayer-Mounted Georeferenced Imaging Module for Strawberry Phenology Monitoring.
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