The Greenhouse Monitoring System project presents a smart and automated solution for monitoring environmental conditions within a greenhouse. This system uses Arduino to measure critical factors such as temperature, humidity, and soil moisture, ensuring optimal conditions for plant growth. By simulating the system in Proteus 8 Professional, users can easily design and test the system in a virtual environment before deployment. 🌱
This project is ideal for IoT, automation, and smart farming applications, helping farmers and gardening enthusiasts monitor their greenhouse remotely with minimal effort.
- 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴: Continuously monitors temperature, humidity, and soil moisture levels to ensure optimal greenhouse conditions.
- 𝗦𝗲𝗻𝘀𝗼𝗿-𝗕𝗮𝘀𝗲𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Uses DHT11 sensor for temperature and humidity, and a Soil Moisture Sensor for real-time soil data.
- 𝗔𝗹𝗲𝗿𝘁𝘀: Configurable to trigger alerts when environmental conditions go beyond safe thresholds.
- 𝗨𝘀𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲: Easy-to-read data display on LCD for real-time feedback.
- 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻-𝗥𝗲𝗮𝗱𝘆: Fully simulated in Proteus 8 Professional, making it easy to visualize and test the system before actual deployment.
- Arduino Uno: Microcontroller to process the sensor data.
- DHT11 Sensor: For measuring temperature and humidity.
- Soil Moisture Sensor: To monitor soil moisture levels.
- 16x2 LCD Display: For displaying real-time data.
- Proteus 8 Professional: Simulation tool to validate the system design.
- Resistors, Wires, Breadboard: Basic electronic components for connections.
- Hardware: Arduino Uno, DHT11 temperature and humidity sensor, soil moisture sensor, relays for control.
- Software: Arduino IDE for programming the Arduino Uno, Proteus 8 Professional for circuit simulation and testing.
- Communication Protocols: Used serial communication for data transfer between sensors and the Arduino.
𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲 𝘁𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗴𝗿𝗲𝗲𝗻𝗵𝗼𝘂𝘀𝗲 𝗻𝗲𝗲𝗱𝘀:
--> Add More Sensors: Integrate additional sensors like light intensity or CO2 sensors for more comprehensive monitoring.
--> Automate Watering: Link the soil moisture sensor to an automatic irrigation system for real-time water management.
--> Remote Monitoring: Add an IoT platform (e.g., Blynk or Thingspeak) to monitor greenhouse conditions remotely via the internet.
- IoT Integration: Implement IoT features to control and monitor the system remotely.
- Data Logging: Record historical sensor data for long-term analysis and optimization.
- Smart Control: Automate climate control (e.g., fans, heaters) based on sensor data for fully autonomous greenhouse management.