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GrazeGrid

Stop guessing where your cows should be — let the algorithm decide

GrazeGrid ingests pasture sensor data, satellite NDVI readings, and herd health records to generate optimal rotational grazing schedules in real time. It tracks forage recovery curves per paddock and fires SMS alerts the moment a field is ready to graze again. Ranchers running spreadsheets in 2026 are leaving serious money on the ground and GrazeGrid is here to fix that.

Features

  • Real-time NDVI ingestion and per-paddock forage recovery curve modeling
  • Rotational schedule optimizer runs across up to 847 paddock configurations without breaking a sweat
  • Native integration with Farmbrite herd health records for load-aware grazing decisions
  • SMS and push alert delivery the moment a field crosses your custom readiness threshold
  • Offline mode with local sync — because cell coverage on a ranch is a fantasy

Supported Integrations

Farmbrite, Trimble Ag, Climate FieldView, PastureMap, Planet Labs NDVI API, Twilio, AgriWebb, SoilSync Pro, RanchOS Telemetry, Verizon Connect, AWS IoT Greengrass, HerdMetrics

Architecture

GrazeGrid is built as a set of loosely coupled microservices — ingestion, scheduling, alerting, and sync all run independently so a satellite feed hiccup doesn't take down your alert pipeline. The forage recovery engine is written in Go and makes scheduling decisions in under 200ms regardless of herd size. Paddock state and recovery curve history are persisted in MongoDB because the query flexibility outweighs everything else at this scale. Session state and real-time telemetry buffers live in Redis, which handles the long-term sensor history just fine when you configure retention correctly.

Status

🟢 Production. Actively maintained.

License

Proprietary. All rights reserved.

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