EuroCrops: Harmonized Crop Reporting Data from European Union Countries
by Maja Schneider / Technical University of Munich
Available on 1 platform
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Description
EuroCrops combines publicly available self-declared crop reporting datasets from multiple European Union countries. The collection is harmonized using a Hierarchical Crop and Agriculture Taxonomy (HCAT) developed by researchers at the Technical University of Munich. Participating countries include Austria, Belgium, Czech Republic, Germany, Denmark, Estonia, Spain, France, Croatia, Lithuania, Latvia, Netherlands, Portugal, Romania, Sweden, Slovenia, and Slovakia.
Use Cases
Analyze regional crop distribution patterns based on harmonized HCAT codes.
Train models for land use classification using the geospatial crop reporting data.
Study agricultural policy impacts across EU member states based on the combined national datasets.
Develop a unified European crop map based on the translated and standardized crop names.
Strengths
Data is harmonized across multiple EU countries using a dedicated Hierarchical Crop and Agriculture Taxonomy (HCAT).
The dataset includes crop data from at least 17 European countries, as listed in the description.
The HCAT provides a machine-readable 10-digit code indicating the crop hierarchy.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Last update date is unknown; freshness unverified.
Provenance
Source
Publicly available self-declared crop reporting datasets from EU countries.
Collection Method
Combined and harmonized by researchers using a newly developed taxonomy (HCAT).
Geography
European Union (specifically listed countries including Austria, Belgium, Czech Republic, Germany, Denmark, Estonia, Spain, France, Croatia, Lithuania, Latvia, Netherlands, Portugal, Romania, Sweden, Slovenia, Slovakia)
The license is listed as Open Access (green). Users are asked to reference the countries' dependent source if using their data.