AgriTrack is built as a precision farming platform connecting field sensors, yield forecasting, and smart irrigation into one offline-capable dashboard
Improving Yield Forecast Accuracy by 38% with Sensor-Driven Field Analytics
Key results from this project
Improvement in Yield Forecast Accuracy
Reduction in Water Usage
Project Summary
AgriTrack approached Hatzs to replace manual field tracking with a connected platform that could ingest sensor data, forecast yields, and automate irrigation decisions. The goal was to give farm managers accurate forecasts and resource optimization even when field crews had no connectivity.
AgriTrack needed an offline-first system field crews could rely on without signal, with data syncing automatically once connectivity returned. Hatzs validated sensor pipelines and forecasting models against the client's actual historical yield data, not generic agricultural benchmarks.
High performance components for demanding applications
They needed a technology partner to support its digital strategy
AgriTrack needed an offline-first system field crews could rely on without signal, with data syncing automatically once connectivity returned. Hatzs validated sensor pipelines and forecasting models against the client's actual historical yield data, not generic agricultural benchmarks.
- IoT Sensor Integration: Real-time soil moisture, temperature, and nutrient monitoring across fields.
- Yield Forecasting: Predictive models validated against historical yield data for accurate planning.
- Smart Irrigation Control: Automated irrigation scheduling based on sensor readings and weather data.
Our Approach & Solution Delivery
AgriTrack approached Hatzs to replace manual field tracking with a connected platform that could ingest sensor data, forecast yields, and automate irrigation decisions. The goal was to give farm managers accurate forecasts and resource optimization even when field crews had no connectivity.
Key implementation aspects included:
Sensor-Driven Field Analytics
Real-time ingestion of soil moisture, temperature, and nutrient data from IoT sensors across every field.
Yield Forecasting Engine
Predictive models validated against historical yield data, improving forecast accuracy for planting and harvest planning.
Smart Irrigation Automation
Automated irrigation scheduling based on sensor readings and weather data, reducing water waste without sacrificing crop health.
Results & Outcomes
AgriTrack now makes data-driven decisions from the field to the boardroom, with forecasts farm managers can trust and irrigation that adapts to real conditions.
- IoT Sensor Integration: Real-time soil moisture, temperature, and nutrient monitoring across fields.
- Yield Forecasting: Predictive models validated against historical yield data for accurate planning.
- Smart Irrigation Control: Automated irrigation scheduling based on sensor readings and weather data.
- Offline-First Field App: Mobile tools that work without connectivity and sync when signal returns.
- Central Operations Dashboard: A single view of field conditions, forecasts, and irrigation status.
AgriTrack needed an offline-first system field crews could rely on without signal, with data syncing automatically once connectivity returned. Hatzs validated sensor pipelines and forecasting models against the client's actual historical yield data, not generic agricultural benchmarks.
We used to guess at irrigation schedules and hope the forecast was close. Now we see exactly what each field needs and our yield predictions actually match what we harvest.
