Embedding CROPGRIDS into FAO geodata platforms
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Geospatial data of crop distribution are needed for modelling and monitoring the status and trends of productive and sustainable agriculture at subnational scales. This paper documents the data architecture and Python code development work implemented by the Food and Agriculture Organization of the United Nations (FAO) that are needed to operationalize CROPGRIDS – a recently published and novel data fusion model for high-resolution global crop maps. The work undertaken demonstrates how methodological innovations from the research domain can be transformed into robust operational tools for global agricultural data and statistics.By delivering harmonized, high-resolution, and policy-relevant crop data, this initiative supports FAO’s efforts to provide up-to-date global data on food and agriculture.