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How to realise automatic irrigation through intelligent greenhouse monitoring system?

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.

Soil moisture sensor for automatic greenhouse irrigation

Data required for irrigation decisions

Data pointSystem roleIntegration note
Soil or substrate moistureDirect irrigation feedbackInstall in representative root-zone positions
Air temperature and humidityClimate and demand contextAvoid fan outlets and door influence
Light or PARCrop demand contextUse when light affects irrigation strategy
Controller ruleStarts or ends irrigationDefine threshold, delay and override

Build the control rule

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.

Greenhouse climate monitoring for automatic irrigation

Commissioning checks

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.

Controller and data logger for greenhouse automatic irrigation

Project FAQ

Q1: How can automatic irrigation be realised in a greenhouse monitoring system?

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.

Q2: Is soil moisture enough by itself?

It can control basic irrigation, but temperature, humidity and light data help interpret water demand in more advanced systems.

Q3: What is the main installation risk?

The main risk is placing the moisture sensor where it does not represent the crop root zone or irrigation wetting pattern.

Q4: Can NiuBoL soil sensors be integrated?

NiuBoL soil sensors with RS485 Modbus or analog outputs can be selected when the receiving controller supports the interface.

Q5: What should be sent for quotation?

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.

Q6: What should be accepted after commissioning?

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.

Root-zone soil sensor for intelligent greenhouse irrigation

Summary

Automatic greenhouse irrigation works when sensor placement, controller logic and irrigation hardware are tested as one system.

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