Smart Plant Monitoring System

This project is a Smart Plant Monitoring System developed using an ESP32 microcontroller along with various sensors like the DHT11, Ultrasonic Sensor, Soil Moisture Sensor, and a Blynk app for monitoring plant health remotely.

Features

• Monitors temperature, humidity, soil moisture, and distance.
• Automated watering system using a water pump.
• Real-time monitoring with Blynk app integration.
• Alerts using a buzzer for low water levels.

Hardware Components

1. ESP32 Microcontroller
2. DHT11 Sensor - Measures temperature and humidity
3. Ultrasonic Sensor - Measures distance
4. Soil Moisture Sensor - Monitors soil moisture
5. Water Pump - Automatically waters the plant based on soil moisture level
6. LCD Display - Shows real-time data from sensors
7. Buzzer - Alerts for water levels
8. Blynk - Mobile app dashboard for remote monitoring

Software Components

1. Arduino IDE - Used for programming ESP32
2. Blynk - Cloud platform for IoT integration
3. Fritzing - Used for creating circuit diagrams
4. Draw.io - Used for flowchart creation

Circuit Diagrams and Flowcharts

Hardware Architecture	Circuit Diagram

Flowchart

System Development

• ESP32 and DHT11 Connection

  Circuit Diagram	Physical Image	Code

• Connection of ESP32, DHT11, and LCD Display

  Circuit Diagram	Physical Image	Code

• Buzzer and Ultrasonic Sensor Connection

  Circuit Diagram	Physical Image	Code

• Connecting ESP32, Soil Moisture Sensor, LCD, and Water Pump

  Circuit Diagram	Physical Image	Code

• Final Connection with Blynk

  Circuit Diagram	Physical Image	Code

Test Cases

Test cases were run to verify the connections and functionality of the system. Below are the successful tests:

1. ESP32 and DHT11 - Successfully reads temperature and humidity.

   Test 1

2. ESP32, DHT11, and LCD - Temperature and humidity displayed correctly.

   Test 2

3. Buzzer and Ultrasonic Sensor - Buzzer alerts at correct distance.

   Test 3

4. Water Pump Automation - Water pump activates below 30% soil moisture.

   Physical Image	Code

Future Improvements

• Capacitive moisture sensors for better durability.
• AI integration to detect plant diseases using image recognition.
• Automated water tank filling with an ultrasonic sensor to prevent overflow.
• Sprinkler system to automate watering for larger areas.

Final System Images

Blynk Mobile Dashboard