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. ๐ฑ
This project is ideal for IoT, automation, and smart farming applications, helping farmers and gardening enthusiasts monitor their greenhouse remotely with minimal effort.
- ๐ฅ๐ฒ๐ฎ๐น-๐ง๐ถ๐บ๐ฒ ๐ ๐ผ๐ป๐ถ๐๐ผ๐ฟ๐ถ๐ป๐ด: Continuously monitors temperature, humidity, and soil moisture levels to ensure optimal greenhouse conditions.
- ๐ฆ๐ฒ๐ป๐๐ผ๐ฟ-๐๐ฎ๐๐ฒ๐ฑ ๐๐๐๐ผ๐บ๐ฎ๐๐ถ๐ผ๐ป: Uses DHT11 sensor for temperature and humidity, and a Soil Moisture Sensor for real-time soil data.
- ๐๐น๐ฒ๐ฟ๐๐: Configurable to trigger alerts when environmental conditions go beyond safe thresholds.
- ๐จ๐๐ฒ๐ฟ-๐๐ฟ๐ถ๐ฒ๐ป๐ฑ๐น๐ ๐๐ป๐๐ฒ๐ฟ๐ณ๐ฎ๐ฐ๐ฒ: Easy-to-read data display on LCD for real-time feedback.
- ๐ฆ๐ถ๐บ๐๐น๐ฎ๐๐ถ๐ผ๐ป-๐ฅ๐ฒ๐ฎ๐ฑ๐: 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.
๐ฃ๐ฒ๐ฟ๐๐ผ๐ป๐ฎ๐น๐ถ๐๐ฒ ๐๐ต๐ฒ ๐๐๐๐๐ฒ๐บ ๐ณ๐ผ๐ฟ ๐๐ผ๐๐ฟ ๐๐ฝ๐ฒ๐ฐ๐ถ๐ณ๐ถ๐ฐ ๐ด๐ฟ๐ฒ๐ฒ๐ป๐ต๐ผ๐๐๐ฒ ๐ป๐ฒ๐ฒ๐ฑ๐:
--> 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.