Radiant MLHub

PlantVillage Crop Type Kenya

satellite

This dataset contains field boundaries and crop type information for fields in Kenya. PlantVillage app is used to collect multiple points around each field and collectors have access to basemap imagery in the app during data collection. They use the basemap as a guide in collecting and verifying the points.

Post ground data collection, Radiant Earth Foundation conducted a quality control of the polygons using Sentinel-2 imagery of the growing season as well as Google basemap imagery. Two actions were taken on the data 1)several polygons that had overlapping areas with different crop labels were removed, 2) invalid polygons where multiple points were collected in corners of the field (within a distance of less than 0.5m) and the overall shape was not convex, were corrected. Finally, ground reference polygons were matched with corresponding time series data from Sentinel-2 satellites (listed in the source imagery property of each label item).

Dataset ID

ref_african_crops_kenya_01

DOI

10.34911/rdnt.u41j87

Creator

PlantVillage, Radiant Earth Foundation

Contact

ml@radiant.earth

Documentation

Citation

PlantVillage (2019) "PlantVillage Kenya Ground Reference Crop Type Dataset", Version 1.0, Radiant MLHub. [Date Accessed] https://doi.org/10.34911/RDNT.U41J87

Python Client example

from radiant_mlhub import Dataset

ds = Dataset.fetch('ref_african_crops_kenya_01')
for c in ds.collections:
    print(c.id)

Python Client quick-start guide

Source Imagery Collection

Description

African Crops Kenya Source Imagery

License

CC-BY-SA-4.0

Collection ID

ref_african_crops_kenya_01_source

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Labels Collection

Description

African Crops Kenya

License

CC-BY-SA-4.0

Collection ID

ref_african_crops_kenya_01_labels

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