GREENMON:An Efficient Wireless Sensor Network Monitoring Solution For Greenhouses
- 2. CONTENTS INTRODUCTION MODULES IN PROJECT. MODULE 1 WORKING CODE OUTPUT MODULE 2 WORKING CODE OUTPUT MODULE 3 WORKING CODE OUTPUT FUTURE DEVELOPMENT CONCLUSION
- 3. INTRODUCTION The paper presents an efficient monitoring solution for green houses. A green house is a structure with walls and roof. Plants requiring regulated conditions are grown. A miniature green house is known as a cold frame.
- 4. Cont.. It implements Wireless Sensor Network(WSN) monitoring system. Expands monitoring concepts to Internet Of Things(IoT). Air temperature, humidity ,soil moisture, gas leakages are monitored. Create reliable communication between sensor nodes and base station.
- 5. Modules in the project. We have 3 modules: 1. Reading data from sensors 2. Uploading data to server by raspberry pi processor 3. Receiving data and controlling green house by mobile application
- 7. Working MODULE 1 • We have several sensors for sensing 4 green house parameters. • DHT_11 sensors for both temperature and humidity. • MQ series sensors for gas leakage sensing. • The value collected from sensors using ATMEGA microcontroller is send to raspberry pi processor Language used in this module -Embedded C
- 8. DHT11
- 9. DHT11 Working They consist of a humidity sensing component, a NTC temperature sensor (or thermistor) and an IC on the back side of the sensor. For measuring humidity they use the humidity sensing component which has two electrodes with moisture holding substrate between them. The humidity changes, the conductivity of the substrate changes or the resistance between these electrodes changes. This change in resistance is measured and processed by the IC which makes it ready to be read by a microcontroller.
- 10. Contd..
- 11. Why DHT11 ? The sampling rate for the DHT11 is 1Hz or one reading every second, while the DHT22 sampling rate is 0.5Hz or one reading every two seconds. DHT11 has smaller body size.
- 12. MQ gas Sensor.
- 13. MQ gas sensor Working. In clean air, donor electrons in tin dioxide are attracted toward oxygen which is adsorbed on the surface of the sensing material, preventing electric current flow. In the presence of reducing gases, the surface density of adsorbed oxygen decreases as it reacts with the reducing gases. Electrons are then released into the tin dioxide, allowing current to flow freely through the sensor.
- 14. Contd.
- 16. Soil Moisture Sensor. The Soil Moisture Sensor is used to measure the volumetric water content of soil. Use the Soil Moisture Sensor to: Measure the loss of moisture over time due to evaporation and plant uptake. Monitor soil moisture content to control irrigation in greenhouses.
- 17. Soil Moisture Sensor Working. The Soil Moisture Sensor uses capacitance to measure dielectric permittivity of the surrounding medium. In soil, dielectric permittivity is a function of the water content. The sensor creates a voltage proportional to the dielectric permittivity, and therefore the water content of the soil.
- 18. Contd.
- 20. Output
- 21. Working MODULE 2 We use raspberry pi processor to collect data from ATMEGA and to upload it to the server. We are using MQTT server for the storing of data It is a free server and uses MQTT protocol. Language used in this module -PYTHON
- 23. Output
- 24. Working MODULE 3 • This module is the mobile application. • It is the interface for the users to receive the data and controlling the parameters. • We can access the parameters: temperature, moisture, humidity and gas leakage. • We can do the controlling of pump. • We use android platform for this module. • Language used is java.
- 26. Android app
- 27. Data receiving & control using app subscribe publish
- 28. CONCLUSION An efficient wireless sensor network monitoring solution for greenhouses, expanded to an IoT solution was presented. The results demonstrate a good system’s performance, which, due to its modular and scalable approach, can be extended and applied to other monitoring applications.
- 29. CONT.. Although the sensing data is only being collected and stored in the cloud, it can be used by any control system. Therefore to fully test the GreenMon system, it will be installed on a real greenhouse and coupled to an actuation system, in order to evaluate the full behavior of a modern automated greenhouse.