Generate historical agriculture datasets for a specified period (up to 2TB)
Enter the number of rows for each table and the historical date range. Datasets are generated and cleaned (ETL) once. View thirteen dashboards in a tabbed modal or download datasets. For >1M rows (up to 2TB), use the server-side Python script.
Generating and cleaning historical datasets, please wait...
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Datasets are generated and cleaned (ETL) once for the specified historical period. ETL includes data cleaning, validation, deduplication, and enrichment. A pop-up window shows when it's best to download based on data quality (e.g., Completeness > 95%, Duplicate % < 1%, Referential Integrity 100%). Click 'Download Datasets' or use the pop-up's 'Download Now' button when prompted. Thirteen dashboards (Farm and Field, Crop Production, Farm Inputs, Climate and Weather, Labor and Workforce, Farm Economics, Supply Chain, Sustainability, AgTech, Risk and Resilience, Farmer Community, Agricultural Innovation, Market and Trade) appear in a draggable, resizable tabbed modal after generation, showing historical KPIs and trends, with options to download as JPG/Excel. The dataset includes: farms.csv, crop_production.csv, input_usage.csv, climate_weather.csv, labor_workforce.csv, financials_economics.csv, supply_chain.csv, sustainability_compliance.csv, technology_digital.csv, risk_resilience.csv, farmer_community.csv, innovation_research.csv, market_trade.csv, and agriculture_overall_data.csv.