SEETREEbuyer room · privateManage buyer room
Block-level perennial-crop yield forecasting corpus with a proprietary satellite foundation model underneath: a cross-industry ground-truth dataset of 600M+ analysed images spanning sugarcane, citrus, oil palm, avocado, almonds, eucalyptus/forestry, coffee, hazelnuts and olives across 12+ countries and every major climate, fused with Sentinel-2 imagery, drone data, weather and grower-supplied agronomic metadata (field boundaries, historical yields, planting and harvest dates). Output is pre-season baselines plus monthly in-season forecasts at block, farm and company level, with API and platform integration
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