ZeqYield

Crop modeling, irrigation, soil, yield.

• Protocol ID — zeq-yield
• Category — Agriculture
• Endpoint — POST /api/agri/yield
• Auth — api-key
• Rate limit — 10/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

Crop yield prediction via R(t)-modulated growth models. Integrates soil, weather, satellite imagery, and historical data for field-level harvest estimates.

Signature

Request

POST /api/agri/yield

Param	Type	Required	Default	Description
cropType	string	✓	—	Crop to predict.
fieldArea_ha	number	✓	—	Field area.
plantingDate	string	✓	—	ISO date of planting.
ndviTimeSeries	array		—	Historical NDVI readings.

Response

{ predictedYield_tonnes_ha, confidence_pct, optimalHarvestDate, riskFactors, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "cropType": "<value>",
  "fieldArea_ha": 0,
  "plantingDate": "<value>",
  "ndviTimeSeries": []
}' \
  "https://api.zeq.dev/api/agri/yield"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/agri/yield in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqYield alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqYield as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.