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.

15. Soil Moisture Sensor.

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.