EuroCrops and eurocropsml
EuroCrops is the source dataset repository while EuroCropsML is a preprocessed benchmark dataset derived from it, making them complements where the latter enables machine learning workflows built on top of the former's raw data.
About EuroCrops
maja601/EuroCrops
The official repository for the EuroCrops dataset.
EuroCrops provides a comprehensive collection of self-declared crop reporting data from various European Union countries. It takes raw, unharmonized crop declaration data and processes it into a standardized, machine-readable format using the Hierarchical Crop and Agriculture Taxonomy (HCAT). This resource is valuable for agricultural researchers, policymakers, and geospatial analysts studying land use and crop patterns across Europe.
About eurocropsml
dida-do/eurocropsml
EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.
This dataset helps agricultural researchers and remote sensing specialists develop better models for identifying specific crops across European agricultural parcels. It takes pre-processed satellite imagery from Sentinel-2 for 2021 and provides labeled data points for 176 different crop types. The output is a ready-to-use dataset for training and benchmarking machine learning models, especially for situations where you have limited examples of a particular crop.
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