Farm-monitoring data is scarcer still. Same forge, a new kind of record.
Real plot-level yield and climate-risk data almost never leaves the agency or NGO that collected it \u2014 not for students, not for methods research. Agriculture is Dataset Foundry's fourth line family, and its first line, Crop Yield, is deliberately agronomic rather than insurance/finance/health-shaped: no policy, loan, or clinical-workup window, no name field, and the record's own severity structure (single-stage classification vs. two-stage classification-plus-severity) is a per-generation choice, the same runtime toggle Breast Cancer introduced. Unlike every other line on this platform, this one doesn't yet take a country parameter at all \u2014 every record is Ghana today, honestly, not a selectable default.
seed 42 — this exact seal, every time
One agronomic line today, more staged behind it
Crop Yield is live. Structurally realistic plot-season data, deterministic and seeded, mimicking the shape of real scarce farm-monitoring data rather than generating noise.
Crop Yield
Available nowA single farm plot's growing-season shortfall outcome from rainfall, soil, and farm-level features, optionally extended with a yield-loss-percentage severity measure for shortfall plots — the second line, after Breast Cancer, where the stage count itself (single vs. two-stage) is a runtime choice rather than a fixed shape. Deterministic, seeded, ready to forge.
Generate a datasetRelationships tested and confirmed in every batch
These aren't hidden in the noise — they're the reason the line exists. Two hypotheses drive shortfall probability and hold no matter which stage mode you generate in. Two more, verified only in two-stage mode and scoped to shortfall plots, drive yield-loss severity.
Shortfall probability — both stage modes
Rainfall deviation from zone seasonal norm
Higher shortfall probability (deeper deficit)
The single most consistently documented driver of rainfed-crop yield variability across the agronomy literature — carries the widest loading spread in the shortfall coefficient table.
Soil-moisture deficit at critical growth stage
Higher shortfall probability
Water stress specifically during flowering/grain-fill is repeatedly identified as the single most yield-critical window for staple cereals — a real, separate driver from total-season rainfall deviation.
Yield-loss severity — two-stage mode only, shortfall plots
Rainfall-deficit magnitude
Higher yield-loss severity
Carries through mechanically from stage one — a plot that missed its shortfall threshold by a wide margin didn't just “have a shortfall,” it had a worse one.
Pest/disease outbreak
Higher yield-loss severity
Drought-stressed crops are well documented to be more susceptible to pest and disease pressure — West Africa's Fall Armyworm spread across maize since 2016 is the concrete regional instance of this compounding pattern.
Configurable length, configurable shape
Pick a record count, a seed, and a stage mode (single-stage shortfall-only, or two-stage with severity fields \u2014 two-stage is the default), and the deterministic model runs server-side and hands you a CSV, manifest, and citation block. Same seed-and-cite reproducibility as every insurance, finance, and health line.
Crop Yield is live — supply-chain rejection queued next
Crop Yield is shipped now, with its own hypothesis tables and methodology page. A post-harvest supply-chain-rejection line is next in this family on the roadmap, following the same sequence Crop Yield itself did \u2014 not scheduled while the freeze holds.
A second country's own rainfall/soil/crop reference data is on the roadmap too \u2014 today every record is Ghana, not a default among options.