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Development of an IoT-Based Smart Watering System for Monitoring and Increasing Soil Moisture Content in “Tabtim Siam” Pomelo Garden in Pak Phanang District, Nakhon Si Thammarat Province, Southern Thailand

,  und   
28. Sept. 2024

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COVER HERUNTERLADEN

Figure 1:

The red circle inside Thailand map indicates Nakhon Si Thammarat Province (left-hand side), and another red circle inside the Nakhon Si Thammarat Province map indicates Pak Phanang District (right-hand side).
The red circle inside Thailand map indicates Nakhon Si Thammarat Province (left-hand side), and another red circle inside the Nakhon Si Thammarat Province map indicates Pak Phanang District (right-hand side).

Figure 2:

The development stage of the IoT-based smart watering system.
The development stage of the IoT-based smart watering system.

Figure 3:

The demonstration of the installation pump system and solenoid valves.
The demonstration of the installation pump system and solenoid valves.

Figure 4:

The process of automatically “on and off” system of water pump and solenoid valves by using the application Blynk.
The process of automatically “on and off” system of water pump and solenoid valves by using the application Blynk.

Figure 5:

The schematic diagram of the electronic circuit in the control cabinet. VDC refers to Voltage Direct Current.
The schematic diagram of the electronic circuit in the control cabinet. VDC refers to Voltage Direct Current.

Figure 6:

The equipment installed inside the control cabinet.
The equipment installed inside the control cabinet.

Figure 7:

The installation of soil moisture sensors under pomelo trees.
The installation of soil moisture sensors under pomelo trees.

Figure 8:

Water sprinkler at the bottom of a pomelo tree.
Water sprinkler at the bottom of a pomelo tree.

Figure 9:

The complete process of smart watering system for monitoring and increasing soil moisture content in pomelo garden.
The complete process of smart watering system for monitoring and increasing soil moisture content in pomelo garden.

Figure 10:

Soil moisture (%) trend lines in the conventional and smart watering systems.
Soil moisture (%) trend lines in the conventional and smart watering systems.

Figure 11:

Soil moisture (%) differences in the conventional and smart watering systems.
Soil moisture (%) differences in the conventional and smart watering systems.

Figure 12:

The relationships between air temperature (°C) and soil moisture (%) in the conventional and smart watering systems.
The relationships between air temperature (°C) and soil moisture (%) in the conventional and smart watering systems.

Components used in the conventional and smart watering systems

Components used Conventional watering system Smart watering system
IoT-based smart watering system No Yes
Soil moisture sensing system Yes Yes
Watering method Water sprinkler at the bottom of each tree. Farmers turn on the pump and water valve manually. Water sprinkler at the bottom of each tree. Farmers can set time and control water pumps and valves automatically by using their smart phones.
Watering time/day 8.00 a.m. to 8.30 a.m. and 13.00 p.m. to 13.30 p.m. 6.30 a.m. to 6.45 a.m., 9.30 a.m. to 9.45 a.m., 12.30 p.m. to 12.45 p.m., and 3.30 p.m. to 3.45 p.m.
Watering duration/tree/day 60 min 60 min
Water amount/tree/day 200 L 200 L

Electronics used to develop the smart watering system

Electronics used Description
Microcontroller NodeMCU ESP32
Soil moisture sensor Modbus RTU RS485
Temperature sensor DHT22 Module
Power supply Transformer
Smartphone and operating system Xiaomi and Android
Relay Relay Module
Magnetic contactor S-N20 Coil AC24V
Circuit breaker Safety breaker AC240V 30A
AC/DC converters Bridge rectifier diode and capacitor
DC to DC converters step-down ET-MINI PWR12-3A

The performance of some existing smart watering systems

Existing watering systems Performance References
Sensor-based smart irrigation networks system for efficient irrigation and water savings A sensor-based smart irrigation networks system was successfully used to monitor and maintain soil moisture and water consumption in strawberry greenhouses in Greece. [34]
Sensor-based smart irrigation systems to monitor soil moisture and maintain irrigation process A sensor-based smart irrigation system was used successfully to monitor real-time soil moisture and maintain the irrigation process to save water in tomato greenhouses in China. [35]
An IoT-based smart watering system to increase moisture (%) content An IoT-based smart watering system was used successfully to increase the moisture (%) content inside the mangosteen canopy in Thailand. [37]
An IoT-based smart watering system to reduce thrips numbers An IoT-based smart watering system was used successfully to reduce the thrips numbers in mangosteen orchards in Thailand. [38]
Sensor-based irrigation system to control irrigation-related parameters A sensor-based irrigation system was used successfully to measure and control temperature and humidity in melon orchards in Thailand. [50]
Sensor-based automatic watering system to monitor and maintain the required level of soil moisture A sensor-based automatic plant watering system was used successfully to monitor air temperature and soil humidity as well as to maintain required levels of soil moisture in eggplant farm in Indonesia. [56]
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Englisch
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