Smart Farming System with IoT

Overview

Smart farming systems use IoT technologies to monitor environmental factors such as soil moisture, humidity, and temperature. This system allows farmers to automate irrigation, monitor plant health, and optimize resource use.

Components Required

• Microcontroller: ESP8266/ESP32
• Soil Moisture Sensor
• DHT22 Temperature and Humidity Sensor
• Water Pump and Relay Module
• Wi-Fi for IoT Connectivity
• LCD Display (Optional for local monitoring)
• Cloud Platform for Data Visualization (such as ThingSpeak or Blynk)

Implementation Steps

1. Set Up Microcontroller

   Configure the ESP8266/ESP32 with the necessary libraries in the Arduino IDE to connect sensors and actuators. Ensure Wi-Fi connectivity for IoT integration.

2. Connect Sensors

   Wire the Soil Moisture sensor and DHT22 temperature and humidity sensor to the microcontroller. The soil moisture sensor will monitor water levels in the soil, and the DHT22 will monitor environmental conditions.

   
   // Sample Code Snippet
   #include 
   #include 
   
   #define DHTPIN D4
   #define DHTTYPE DHT22
   DHT dht(DHTPIN, DHTTYPE);
   
   void setup() {
       Serial.begin(115200);
       WiFi.begin("SSID", "PASSWORD");
       dht.begin();
   }
   
   void loop() {
       float temp = dht.readTemperature();
       float humidity = dht.readHumidity();
       // Send data to the cloud...
   }
                       

3. Control Water Pump via Relay

   Connect the water pump through a relay module to automate irrigation based on soil moisture levels.

4. Send Data to IoT Platform

   Use platforms such as ThingSpeak or Blynk to visualize real-time sensor data and control irrigation remotely. You can set up data logging and alerts for abnormal environmental conditions.

5. Monitor and Optimize

   Access the web interface to monitor soil moisture and temperature in real time, and manage irrigation schedules automatically or manually from any remote location.

Features of Smart Farming System

• Automated irrigation system based on real-time soil moisture data
• Remote monitoring of temperature and humidity
• Real-time data visualization on cloud platforms
• Alerts for abnormal conditions such as low moisture levels
• Energy-efficient system to optimize water use and electricity