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Time:2024-09-01 16:13:41 Popularity:2875
Automatic irrigation through an intelligent greenhouse monitoring system requires soil or substrate moisture data, climate context and controller logic. The system should not irrigate from a timer alone when crop beds and greenhouse climate change during the day.
| Data point | System role | Integration note |
|---|---|---|
| Soil or substrate moisture | Direct irrigation feedback | Install in representative root-zone positions |
| Air temperature and humidity | Climate and demand context | Avoid fan outlets and door influence |
| Light or PAR | Crop demand context | Use when light affects irrigation strategy |
| Controller rule | Starts or ends irrigation | Define threshold, delay and override |
The control rule should define moisture threshold, irrigation delay, maximum watering time, manual override and alarm condition. Light and temperature data can be used as context when crop water demand changes strongly during the day.
Sensors should be installed in representative root-zone positions. A sensor outside the wetting pattern can trigger the wrong irrigation response.
Before acceptance, test the complete chain: sensor reading, controller input, irrigation command, valve or pump response, data logging and platform record. The system should also allow manual override for maintenance.
If RS485 Modbus sensors are used, confirm address, baud rate, register mapping and controller compatibility.
Use soil or substrate moisture sensors, connect them to a controller or data logger, and define irrigation rules based on measured thresholds and crop needs.
It can control basic irrigation, but temperature, humidity and light data help interpret water demand in more advanced systems.
The main risk is placing the moisture sensor where it does not represent the crop root zone or irrigation wetting pattern.
NiuBoL soil sensors with RS485 Modbus or analog outputs can be selected when the receiving controller supports the interface.
Send greenhouse layout, crop, irrigation method, controller type, sensor quantity, output, power and platform requirements. A useful inquiry should state root-zone depth, soil texture, irrigation layout and controller input; this allows NiuBoL to match the product configuration without adding unsupported parameters.
Verify sensor readings, threshold action, valve response, manual override, timestamps, data records and alarm settings. The acceptance record should include live value, zone label, wetting response after irrigation and cable protection so later maintenance can identify whether the sensor or the system caused a fault.
Automatic greenhouse irrigation works when sensor placement, controller logic and irrigation hardware are tested as one system.
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