Grow-C - MAN 1 Kota Kediri | Akademi Madrasah Digital (AMD) 2021

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Published on Oct 12, 2025 This response is partially generated with the help of AI. It may contain inaccuracies.

Table of Contents

Introduction

This tutorial outlines how to implement the Grow-C IoT solution developed by MAN 1 Kota Kediri, designed to assist farmers in monitoring and maintaining optimal soil moisture and air temperature using real-time sensor technology. By following these steps, you will learn how to set up a system that allows for efficient remote monitoring and automated irrigation, ultimately improving agricultural productivity.

Step 1: Understand the System Components

Familiarize yourself with the key components of the Grow-C system:

  • Sensors:

    • DHT22: Measures air temperature and humidity.
    • Soil Moisture Sensor: Monitors the moisture level in the soil.
  • Pumps:

    • Pump 1: Activates to irrigate the soil when moisture is low.
    • Pump 2: Activates to cool the air when temperature is too high.

Step 2: Setting Up the DHT22 Sensor

To monitor air temperature, follow these steps:

  1. Connect the DHT22 Sensor:

    • Wire the DHT22 to your microcontroller (e.g., Arduino).
    • Ensure you connect the power (VCC), ground (GND), and data pin correctly.
  2. Install the Required Library:

    • If you are using Arduino, install the DHT library from the Arduino Library Manager.
  3. Write the Code:

    • Use the following code snippet to read data from the DHT22 sensor:
    #include "DHT.h"
    
    #define DHTPIN 2     // Pin where the DHT sensor is connected
    #define DHTTYPE DHT22   // DHT 22 (AM2302)
    
    DHT dht(DHTPIN, DHTTYPE);
    
    void setup() {
        Serial.begin(9600);
        dht.begin();
    }
    
    void loop() {
        float h = dht.readHumidity();
        float t = dht.readTemperature();
        if (isnan(h) || isnan(t)) {
            Serial.println("Failed to read from DHT sensor!");
            return;
        }
        Serial.print("Humidity: ");
        Serial.print(h);
        Serial.print(" %\t");
        Serial.print("Temperature: ");
        Serial.print(t);
        Serial.println(" *C");
        delay(2000);
    }
    

Step 3: Setting Up the Soil Moisture Sensor

Follow these steps to monitor soil moisture:

  1. Connect the Soil Moisture Sensor:

    • Wire the sensor to the microcontroller, connecting power, ground, and the signal pin.
  2. Write the Code:

    • Integrate this code snippet to read the moisture level:
    int moisturePin = A0; // Analog pin for soil moisture sensor
    
    void setup() {
        Serial.begin(9600);
    }
    
    void loop() {
        int moistureLevel = analogRead(moisturePin);
        Serial.print("Soil Moisture Level: ");
        Serial.println(moistureLevel);
        delay(2000);
    }
    

Step 4: Automating the Pump Control

To automate the irrigation process based on sensor readings:

  1. Define Pump Control Logic:

    • If soil moisture is below a certain threshold, activate Pump 1.
    • If air temperature exceeds a threshold, activate Pump 2.
  2. Implement the Control Logic:

    • Extend your code to include pump control:
    int pump1Pin = 3; // Pump 1 control pin
    int pump2Pin = 4; // Pump 2 control pin
    
    void setup() {
        pinMode(pump1Pin, OUTPUT);
        pinMode(pump2Pin, OUTPUT);
        // Other setup code...
    }
    
    void loop() {
        // Read sensor values...
        if (moistureLevel < threshold) {
            digitalWrite(pump1Pin, HIGH); // Activate Pump 1
        } else {
            digitalWrite(pump1Pin, LOW); // Deactivate Pump 1
        }
    
        if (temperature > threshold) {
            digitalWrite(pump2Pin, HIGH); // Activate Pump 2
        } else {
            digitalWrite(pump2Pin, LOW); // Deactivate Pump 2
        }
        // Other loop code...
    }
    

Conclusion

By following these steps, you can set up the Grow-C IoT system to effectively monitor soil moisture and air temperature, automating the irrigation process for farmers. This system enhances efficiency and provides a means for remote monitoring, making agricultural practices more sustainable. For further development, consider integrating a mobile app for notifications or remote control of the pumps.