Irrigation Plan

Real-time soil moisture and evapotranspiration analytics optimize irrigation timing and volumes to reduce water use and boost crop yields with precision.

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How does it work?

Overwatering or under-irrigation reduces crop yields and wastes water due to lack of precise moisture and evapotranspiration data. Integrating real-time soil moisture sensors and ET models enables optimized scheduling, ensuring plants receive the right amount of water at the right time.

Water Savings: Real-time monitoring prevents overwatering by applying only necessary volumes. This reduces water use by up to 30% compared to fixed schedules.
Yield Optimization: Optimized irrigation schedules maintain optimal soil moisture levels for healthy plant growth. Consistent moisture management increases yields by improving stress resilience and nutrient uptake.
Reduced Plant Stress: By matching irrigation to evapotranspiration rates, plants avoid drought and waterlogging stress. This stabilization of water availability supports uniform development across fields.
Automated Scheduling: Automated triggers based on sensor data schedule irrigation events without manual intervention. This frees up labor and ensures timely watering even in remote operations.
Data-Driven Insights: Historical moisture and ET data analytics reveal field-specific water requirements over season. Farmers can refine crop management and forecast irrigation needs more accurately.
Scalable Integration: The system integrates with existing pumps, valves, and farm management platforms via open APIs. It supports expansion from single fields to large-scale farm networks.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this solution compare to traditional timer-based irrigation?: Unlike fixed timers, this system uses live moisture and ET data to trigger irrigation only when needed. This reduces water waste and ensures irrigation aligns with actual crop demand.
Why is evapotranspiration data popular among farmers?: Evapotranspiration reflects actual water loss from soil and plants, making it a reliable irrigation driver. Farmers appreciate ET data for its precision in matching water supply to plant needs.
What limitations exist with soil moisture sensors?: Sensors can experience calibration drift and signal interference in heterogeneous soils. Regular maintenance and multi-point deployments help mitigate these issues for consistent readings.
Can I use satellite-derived ET instead of ground-based sensors?: Yes, satellite ET provides broader coverage but at coarser spatial and temporal resolution. Combining satellite ET with in-field sensors balances coverage and local accuracy.
How accurate is the evapotranspiration modeling?: Accuracy varies with data quality and model calibration but typically falls within 10% of measured ET. Incorporating local weather station inputs further refines the estimates.
Are there alternatives to this AI-based irrigation scheduling?: Alternatives include manual scheduling guided by experience or rule-based software without AI optimization. However, they lack adaptive learning and real-time responsiveness of AI-driven systems.

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