What inputs does a smart irrigation system use?
A deployment can combine soil-moisture readings, local weather, flow, water level and equipment status. Select the inputs that support the growing zones and control arrangement.
An IoT based irrigation system uses soil-moisture, weather and water-supply readings to guide when pumps and valves operate. Livwize connects field sensors, gateways and dashboards so growers can review each zone, check available water and coordinate compatible controls. Settings and schedules are selected for the crop, growing medium and site.
01
Water-use visibility
Precision irrigation eliminates overwatering and waste.
02
Higher Yield
Optimal watering improves crop health and productivity.
03
Remote Control
Manage irrigation from anywhere with real-time data.
Soil Moisture Sensing
Real-time soil moisture monitoring at multiple depths.
Weather Integration
Automatic adjustment based on rainfall, humidity, and temperature forecasts.
Crop-specific Algorithms
Custom watering schedules optimized for each crop variety.
Overview
Water scarcity demands smarter irrigation. Our IoT-based Smart Irrigation System uses real-time soil moisture data, weather forecasts, and crop-specific algorithms to coordinate watering schedules using the field readings and crop requirements.
Deploy wireless soil sensors across your fields, connect them to our cloud platform, and use configured irrigation schedules and thresholds. Monitor and control everything from your phone.
Key Benefits
Use the irrigation operations measurements below to review conditions, investigate changes and coordinate the team responsible for the equipment.
Precision irrigation eliminates overwatering and waste.
Optimal watering improves crop health and productivity.
Manage irrigation from anywhere with real-time data.
Reduce pump running time with smart scheduling.
Contribute to water conservation and sustainable farming.
Historical analysis helps improve farming practices over time.
How It Works
Install wireless soil moisture sensors across your fields.
The system brings soil readings, weather information and configured crop settings together.
System creates optimal watering schedules automatically.
IoT-controlled valves execute irrigation precisely when needed.
Applications
Match the irrigation operations configuration to the instruments, network and operator workflow at each installation.
Precision irrigation for wheat, rice, corn, and soybean fields.
Drip irrigation automation for fruit crops.
Controlled environment irrigation for nurseries and protected cultivation.
Smart watering for parks, golf courses, and commercial landscapes.
Automated irrigation for rooftop and community gardens.
Large-scale landscape irrigation management.
A greenhouse irrigation plan needs visibility into the growing zones as well as the available water. Soil-moisture measurements indicate where conditions differ, while temperature and humidity help explain how quickly a zone changes. Flow and tank-level monitoring can show whether the requested water was actually available and delivered.
Use a separate sensor identity for each zone and compare the trend before changing a watering schedule. The dashboard can bring the records together, but irrigation targets depend on the crop, growing medium and local operating practice. Pumps, valves and local protective controls must be selected for the installation.
Select a data logger that matches the field-sensor interfaces and the available network.
Wireless field sensors reduce the need to cable every growing area back to one point. Survey network coverage and the location of the pump, valve controller and gateway. Confirm how the system reports a missing sensor value before enabling any automatic sequence.
| Input | Use |
|---|---|
| Soil moisture | Review irrigation need by growing zone |
| Weather | Compare conditions with planned watering |
| Flow | Check delivery while watering |
| Tank level | Review available supply |
| Pump / valve status | Confirm the state of compatible connected equipment |
Divide the drip network into zones whose valves and sensor locations match the crop and growing medium. Soil-moisture trends can inform an irrigation request, while flow, tank level and pump status help confirm delivery. A wireless automated drip irrigation control system still needs local wiring and protective controls at the pump and valves.
Set maximum run time, minimum available water and the response to a missing sensor value before enabling automatic sequences. An operator should be able to identify the active zone and use the agreed manual control. Compare delivered flow with the requested watering period to investigate a blocked line or an unexpected valve state.
| Design item | Published option or required input |
|---|---|
| Valve count | Confirm the number of independently controlled zones; the LoRa receiver channel count is not a valve rating |
| Soil-moisture range | Confirm the selected probe range, calibration basis and installation depth |
| Field-node power | Solar-powered sensor nodes with battery backup are described in the agriculture brochure |
| Gateway power | Agriculture gateway: 5–12 V DC, 2 A adapter |
| Reporting and runtime | Agree sensor/reporting interval and size battery/solar capacity for coverage and local sunlight |
A deployment can combine soil-moisture readings, local weather, flow, water level and equipment status. Select the inputs that support the growing zones and control arrangement.
Irrigation is one part of the farm monitoring workflow. Soil, weather and environmental records help the grower interpret water use alongside wider crop conditions.
Next Step
Coordinate irrigation using field readings, schedules and compatible pump and valve controls.