Smart Irrigation Sensor
Field-level soil and irrigation intelligence for better watering decisions
The Smart Irrigation Sensor is a connected agriculture monitoring solution concept designed to help farmers, greenhouse operators, nurseries and irrigation-system integrators understand actual field conditions before operating pumps and valves.
Instead of depending only on fixed irrigation schedules, the system can use soil condition, environmental data, water flow and equipment status to support more informed irrigation decisions.
The objective is not simply to automate a pump timer. The objective is to create a measurable, remotely visible and configurable irrigation-monitoring system.
Status: Solution Concept — In Development
The operational problem
Many irrigation systems operate using fixed schedules, manual observation or a single low-cost moisture probe. These approaches may not reflect:
- Actual soil-water availability
- Different soil types
- Root-zone depth
- Rainfall
- Evaporation
- Crop stage
- Pump failure
- Valve failure
- Blocked water flow
- Over-irrigation
- Under-irrigation
A pump may run successfully while little or no water reaches the intended zone. Similarly, a timer may irrigate even when the soil is already sufficiently wet.
The Smart Irrigation Sensor is designed to combine field sensing, equipment monitoring, wireless communication and cloud-based visibility.
High-level system architecture
Soil monitoring
The system can be designed to support one or more sensor technologies depending on the application:
- Soil-moisture sensors
- Soil-water tension sensors
- Watermark-type sensors
- Capacitive soil sensors
- Soil-temperature sensors
- Multi-depth sensing
- Multiple irrigation zones
Soil-water tension sensing can be especially useful where the customer needs information related to how difficult it is for plant roots to extract water from the soil.
Sensor selection should be based on soil type, crop, installation depth, expected maintenance and required accuracy.
Environmental monitoring
Optional environmental sensors may include:
- Ambient temperature
- Relative humidity
- Rain detection
- Light intensity
- Solar radiation
- Local weather-station input
- Evapotranspiration-related data
These measurements can provide additional context for irrigation decisions.
Irrigation equipment monitoring
The system may monitor:
- Pump running status
- Valve open or closed status
- Water-flow detection
- Line pressure
- Tank level
- Borewell level
- Main-power availability
- Solar-power status
- Motor fault input
- Dry-run condition
This helps distinguish between an irrigation command and actual water delivery.
Control capability
Depending on the project, the controller may provide:
- Pump-control output
- Solenoid-valve outputs
- Multi-zone irrigation
- Manual override
- Scheduled control
- Soil-condition-based control
- Safety interlocks
- Maximum runtime protection
- Low-tank or dry-run protection
- Remote enable and disable
Control features should be implemented with suitable electrical isolation, contactors, protection and field-safety logic.
Communication
Field connectivity may use:
- LoRaWAN
- Point-to-point LoRa
- Wi-Fi
- Cellular communication
- RS485
- Local gateway
- MQTT or HTTP
LoRaWAN is useful for widely distributed fields where sensor nodes must operate at low power and conventional Wi-Fi coverage is unavailable.
Power options
The sensor node may be designed for:
- Replaceable battery
- Rechargeable battery
- Solar charging
- Existing field power
- Low-power sleep operation
- Energy-harvesting support
Data and control workflow
- The field node reads soil and environmental sensors.
- Sensor readings are filtered and checked for validity.
- The controller calculates the current irrigation condition.
- Data is transmitted to a gateway or cloud platform.
- The dashboard shows current and historical field conditions.
- Alarm rules identify abnormal conditions.
- An irrigation recommendation or control action can be generated according to the configured strategy.
- Pump, valve and flow feedback confirm whether water delivery actually occurred.
Possible alerts include:
- Soil too dry
- Soil remains wet for an excessive period
- Irrigation command active but no water flow detected
- Pump running beyond the allowed duration
- Low tank level
- Valve feedback mismatch
- Sensor disconnected
- Low battery
- Node offline
- Abnormal field temperature
- Excessive irrigation frequency
Customer benefits
Better irrigation decisions
The customer can base irrigation on measured field conditions rather than only on time schedules.
Reduced unnecessary watering
Avoiding irrigation when the soil is already adequately wet can reduce avoidable water use.
Actual savings depend on crop, climate, system design and operating discipline; they should be validated during field deployment.
Improved crop consistency
Monitoring multiple zones can help identify uneven irrigation and variations in soil conditions.
Reduced field visits
Remote visibility allows operators to check field conditions and system status without travelling to every sensor location.
Detection of irrigation failures
Flow, pressure, pump and valve feedback can identify situations where the controller issued a command but water was not delivered correctly.
Historical agricultural data
Trend data can help users compare irrigation events, rainfall and soil response across days or crop stages.
Expandable system
Customers can begin with a few sensing points and expand to additional zones, pumps or fields.
Differentiation from common market-ready solutions
Not only a timer controller
Many standard irrigation controllers operate using fixed schedules. This concept combines scheduling with actual field measurements and equipment feedback.
Sensor selection based on application
The system can be adapted for soil moisture, soil tension, soil temperature or multi-depth sensing instead of forcing every application to use the same sensor technology.
Closed-loop verification
A complete implementation can verify:
- Was the pump commanded?
- Did the pump start?
- Did the valve open?
- Was water flow detected?
- Did the soil condition change after irrigation?
This provides greater operational confidence than a simple remote switch.
Long-range field connectivity
LoRaWAN or LoRa communication can support distributed sensor nodes without requiring Wi-Fi at every location.
Local intelligence
Critical control and safety logic can operate locally so the irrigation system does not depend entirely on continuous cloud availability.
Custom dashboard and alerts
The customer can receive a dashboard designed around fields, crops, zones, pumps and water sources rather than a fixed generic interface.
Integration flexibility
The system may integrate with:
- Existing pumps
- Motor-control panels
- Solenoid valves
- RS485 instruments
- Flow meters
- Weather stations
- Tank-level sensors
- Customer cloud platforms
Maintainable and repairable architecture
The solution can be designed using replaceable sensors, documented wiring and configurable firmware rather than a sealed consumer device with limited integration options.
Possible applications
- Open-field agriculture
- Greenhouses
- Nurseries
- Orchards
- Polyhouses
- Drip irrigation
- Sprinkler systems
- Landscape irrigation
- Research farms
- Remote agricultural plots
- Water-constrained regions
Dashboard features
A typical dashboard may show:
- Soil condition by zone
- Soil temperature
- Ambient temperature and humidity
- Pump status
- Valve status
- Water-flow status
- Tank level
- Irrigation history
- Battery level
- Wireless-signal status
- Alarm history
- Manual-control permissions
- Multi-field overview
Deployment approach
- Study crop, soil and irrigation method
- Select sensor type and installation depth
- Identify communication coverage
- Install a pilot node
- Collect baseline field data
- Configure thresholds
- Validate pump and valve operation
- Test alerts and safety logic
- Review data with the customer
- Expand to additional irrigation zones
Important design options
Final configuration may depend on:
- Soil type
- Crop type
- Sensor technology
- Number of zones
- Pump and valve voltage
- Flow and pressure sensors
- Communication range
- Battery or solar power
- Enclosure rating
- Manual override requirements
- Cloud platform
- Automation strategy
Discuss a Smart Irrigation application
Bit-Plex Lab can develop the sensor node, control hardware, embedded firmware, wireless communication and dashboard according to the customer’s field layout and irrigation process.
- Soil-moisture monitoring
- Temperature and humidity sensing
- Irrigation and pump-status monitoring
- Valve-control support
- Weather-based scheduling
- LoRaWAN or wireless connectivity
- Remote alerts and historical data
- Cloud dashboard integration