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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 532
IOT Based Automated Green House Monitoring and Control System.
Darsana K M1, Sai Krishna P rasad P V2, Rahul C S3 Asha Arvind4
1,2,3 Students, Dept.of Electronics & Communication Engineering, Ammini College of Engineering, Palakkad, Kerala,
India
3Assistant Professor, Dept.of Electronics & Communication Engineering, Palakkad, Kerala, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - This project describes an IOT based wireless
sensor network for monitoring green house effect, global
warming ,industrial pollution within an green house
environment. The wireless sensor networks automatically
monitors the environmental parameters inside a green
house and initiates the control measures to be taken. The
robot checks the environmental conditions and if the value
exceeds threshold level a message will be sent. The image
processing techniques used detects and eradicates the pests.
With the help of gear motors the robot can move around the
green house on wheels.
Key Words: Global warmig, green house effect, image
processing, wireless sensor networks,
1.INTRODUCTION ( Size 11 , cambria font)
The demand for increased crop production and quality
affected the high quality green house. This paper describes
a wireless sensor network for monitoring the green house
gases and environment. This sensor senses the vital
parameters in the environment and the values are
displayed using an android application. The sensor is
connected to a microcontroller which automatically turns
on the motor when the soil moisture content is low. This
method is focussed on saving water, reducing
environmental impacts on plant production and increasing
efficiency. The user can monitor the green house gases
from far way places and can control them..
1.1 Existing System
The existing system has mainly three steps: i) Manual
set-up: manual irrigation of plants, visual inspection of
plant growth, manual application of pesticides and
fertilizers. ii) Partially automated set-up: combination
of manual supervision and partial automation. Reduces
labor involved in terms of irrigation set – up. iii) Fully
automated: used feedback system which reacts to climatic
changes occurring in green house. It overcomes the
problems caused due to manual errors.
1.2 Problem Definition and Motivation
The plant growth is affected by the complexities
involved in humidity, soil moisture, soil pH, temperature
etc. The existing systems monitor and control only one
parameter rather than many parameters simultaneously.
The proposed systems with mobile acquisition technology
monitor and control multiple parameters at a time. It
improves efficiency, reliability and skilled labour.
2. PROPOSED SYSTEM
He proposed system can be divided into two parts: vehicle
part and controlling part.
1.1 Vehicle Part
Fig -1: Block diagram of vehicle part
The main part of vehicle part is Node MCU. The sensing
part senses and measures natural parameters such as soil
moisture, temperature, humidity, presence of toxic gases
and carbon-di oxide within the green house. The vehicle
moves in and around the green house and any unnecessary
variations can be controlled by the controlling part. The
Node MCU controls the motor driver and robotic wheels.
The front wheels are controlled by motor and back wheels
are made free. The vehicle utilizes flood fill wall following
algorithm for its movement in and around the green house.
1.2 Vehicle Part
The application controlled robotic vehicle moves
around the green house under the control and monitoring
of controlling part. This part monitors and controls the
environmental parameters like soil moisture, humidity,
soil pH, temperature etc.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 533
Fig -2: Block diagram of control part
3. CIRCUIT DIAGRAM
The circuit diagram of the proposed system has three
parts: sensor part, microcontroller part and relay part.
Fig -3: Circuit diagram
The sensors included are temperature sensor, humidity
sensor, soil moisture sensor, fire sensor and gas sensor.
These sensors sense various environmental parameters
and the values are sent to the user mobile by uploading it
through cloud based IOT technique. The sensors are
connected to the microcontroller which is the controlling
part of the system. The microcontroller is connected to
water pump, sprayer, cooling fan, buzzer, artificial light
and relays. The water pump is automatically turned ON by
the microcontroller when the soil moisture is less. If the
presence of toxic gases is sensed by the gas sensor, then
the information is passed to microcontroller which
displays the message Toxic Gases Found on the user
mobile. Then the buzzer is turned ON. The sprayer is
automatically turned ON by the microcontroller when the
humidity is less. When the temperature inside the green
house is high then the cooling fan is turned don by the
microcontroller.
3.1 Working
The power supply for the working of green robot is
provided by 9v, 12v batteries. The output of each analog
sensor is connected to the microcontroller. When any of
the parameters sensed by the sensors crosses the
threshold value, then the microcontroller performs the
necessary actions required for the protection of crops.
This done by the help of relays until the conditions is
brought back to normal conditions or optimum level. The
sensors are connected on arduino nano boards. The
sensors sense and measure the parameters inside the
green house and necessary control measures will be taken
by the microcontroller. The measured values are made
available to the user through Wi-Fi module based on IOT
technology. The user can see the present and past values
of the environmental parameters. The date and time of the
occurrence of the particular event can also be obtained for
the user. The movement of the robot can be controlled by
the user through his phone.
3.2 Advantages, Disadvantages and Application
This system automatically controls the green house
parameters there by enabling sufficient plant growth. The
risk of green house not maintained in an optimum level
due to human errors is eliminated. The labour cost is
eliminated by this method. This compact system provides
more user friendly interface. The sensors are highly
sensitive, easy to handle and do not disturb any of the
green house parameters. If any one of the sensors is not
working, the entire system is not affected. There is no self
test mechanism involved in this system to detect the
malfunctioning of sensors. Requires uninterrupted power
supply and facility to remotely monitor the green house.
This system can be used in mechanical companies to
monitor the temperature and light. Temperature
monitoring and control can be used in houses and offices.
4. RESULTS
Green house monitoring system measures various
parameters inside the green house using sensors and IOT.
Various values are obtained and analyzed using sensors.
The values measured by the sensors are used to activate
the microcontroller by which necessary and sufficient
actions are taken to maintain the green house in an
optimum and efficient level. The movement of green robot
around the green house on the wheels can be controlled
by user through his mobile. The valueds measured by the
sensor is displayed on the user’s mobile and the
microcontroller can be activated to take necessary actions
from any part of the world by the user through his mobile.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 534
Fig -4: Green Robot
5. CONCLUSIONS and FUTURE SCOPE
This paper describes an IOT based green house
monitoring system. The system is profitable as it
optimizes the green house parameters. The complete
system is low cost and is of low power operation. This
technique can be extended with flood fill wall following
algorithm so that it can be made applicable to house hold
and official premises.
REFERENCES
[1]. M.K Gayathri and J. Jayasakthi, “Providing Smart
Agricultural Solutions to Farmers for Better Yielding
Using IOT,” 2015 IEEE International Conference on
Technological Innovations for Agriculture and Rural
Development.
[2]. Viswanath Naik, “IOT based Green House Monitoring
System”, International Journal for Electronics &
Communication Engineering and Technology, vol
6,issue 6,June 2015,pp 45-47
[3]. P.S Asolkar, “An Effective Method of Controlling Green
House and Crop Monitoring Using GSM”,2015
International Conference on Computing
Communication Control and Automation.
[4]. Orazio Mirabella, “Hybrid Wireless Networking
Infrastructure for Green House Management”,IEEE
transactions on Instrumentations and Measurement
,Vol 60,February 2011.
[5]. M.Manscuo and F.Busttaffa, “A wireless Sensor
Network for Monitoring Environmental Variables in
Green House”, 6th IEEE International Workshop on
Factory Communication System, June 2006.

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IRJET- IoT based Automated Green House Monitoring and Control System

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 532 IOT Based Automated Green House Monitoring and Control System. Darsana K M1, Sai Krishna P rasad P V2, Rahul C S3 Asha Arvind4 1,2,3 Students, Dept.of Electronics & Communication Engineering, Ammini College of Engineering, Palakkad, Kerala, India 3Assistant Professor, Dept.of Electronics & Communication Engineering, Palakkad, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - This project describes an IOT based wireless sensor network for monitoring green house effect, global warming ,industrial pollution within an green house environment. The wireless sensor networks automatically monitors the environmental parameters inside a green house and initiates the control measures to be taken. The robot checks the environmental conditions and if the value exceeds threshold level a message will be sent. The image processing techniques used detects and eradicates the pests. With the help of gear motors the robot can move around the green house on wheels. Key Words: Global warmig, green house effect, image processing, wireless sensor networks, 1.INTRODUCTION ( Size 11 , cambria font) The demand for increased crop production and quality affected the high quality green house. This paper describes a wireless sensor network for monitoring the green house gases and environment. This sensor senses the vital parameters in the environment and the values are displayed using an android application. The sensor is connected to a microcontroller which automatically turns on the motor when the soil moisture content is low. This method is focussed on saving water, reducing environmental impacts on plant production and increasing efficiency. The user can monitor the green house gases from far way places and can control them.. 1.1 Existing System The existing system has mainly three steps: i) Manual set-up: manual irrigation of plants, visual inspection of plant growth, manual application of pesticides and fertilizers. ii) Partially automated set-up: combination of manual supervision and partial automation. Reduces labor involved in terms of irrigation set – up. iii) Fully automated: used feedback system which reacts to climatic changes occurring in green house. It overcomes the problems caused due to manual errors. 1.2 Problem Definition and Motivation The plant growth is affected by the complexities involved in humidity, soil moisture, soil pH, temperature etc. The existing systems monitor and control only one parameter rather than many parameters simultaneously. The proposed systems with mobile acquisition technology monitor and control multiple parameters at a time. It improves efficiency, reliability and skilled labour. 2. PROPOSED SYSTEM He proposed system can be divided into two parts: vehicle part and controlling part. 1.1 Vehicle Part Fig -1: Block diagram of vehicle part The main part of vehicle part is Node MCU. The sensing part senses and measures natural parameters such as soil moisture, temperature, humidity, presence of toxic gases and carbon-di oxide within the green house. The vehicle moves in and around the green house and any unnecessary variations can be controlled by the controlling part. The Node MCU controls the motor driver and robotic wheels. The front wheels are controlled by motor and back wheels are made free. The vehicle utilizes flood fill wall following algorithm for its movement in and around the green house. 1.2 Vehicle Part The application controlled robotic vehicle moves around the green house under the control and monitoring of controlling part. This part monitors and controls the environmental parameters like soil moisture, humidity, soil pH, temperature etc.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 533 Fig -2: Block diagram of control part 3. CIRCUIT DIAGRAM The circuit diagram of the proposed system has three parts: sensor part, microcontroller part and relay part. Fig -3: Circuit diagram The sensors included are temperature sensor, humidity sensor, soil moisture sensor, fire sensor and gas sensor. These sensors sense various environmental parameters and the values are sent to the user mobile by uploading it through cloud based IOT technique. The sensors are connected to the microcontroller which is the controlling part of the system. The microcontroller is connected to water pump, sprayer, cooling fan, buzzer, artificial light and relays. The water pump is automatically turned ON by the microcontroller when the soil moisture is less. If the presence of toxic gases is sensed by the gas sensor, then the information is passed to microcontroller which displays the message Toxic Gases Found on the user mobile. Then the buzzer is turned ON. The sprayer is automatically turned ON by the microcontroller when the humidity is less. When the temperature inside the green house is high then the cooling fan is turned don by the microcontroller. 3.1 Working The power supply for the working of green robot is provided by 9v, 12v batteries. The output of each analog sensor is connected to the microcontroller. When any of the parameters sensed by the sensors crosses the threshold value, then the microcontroller performs the necessary actions required for the protection of crops. This done by the help of relays until the conditions is brought back to normal conditions or optimum level. The sensors are connected on arduino nano boards. The sensors sense and measure the parameters inside the green house and necessary control measures will be taken by the microcontroller. The measured values are made available to the user through Wi-Fi module based on IOT technology. The user can see the present and past values of the environmental parameters. The date and time of the occurrence of the particular event can also be obtained for the user. The movement of the robot can be controlled by the user through his phone. 3.2 Advantages, Disadvantages and Application This system automatically controls the green house parameters there by enabling sufficient plant growth. The risk of green house not maintained in an optimum level due to human errors is eliminated. The labour cost is eliminated by this method. This compact system provides more user friendly interface. The sensors are highly sensitive, easy to handle and do not disturb any of the green house parameters. If any one of the sensors is not working, the entire system is not affected. There is no self test mechanism involved in this system to detect the malfunctioning of sensors. Requires uninterrupted power supply and facility to remotely monitor the green house. This system can be used in mechanical companies to monitor the temperature and light. Temperature monitoring and control can be used in houses and offices. 4. RESULTS Green house monitoring system measures various parameters inside the green house using sensors and IOT. Various values are obtained and analyzed using sensors. The values measured by the sensors are used to activate the microcontroller by which necessary and sufficient actions are taken to maintain the green house in an optimum and efficient level. The movement of green robot around the green house on the wheels can be controlled by user through his mobile. The valueds measured by the sensor is displayed on the user’s mobile and the microcontroller can be activated to take necessary actions from any part of the world by the user through his mobile.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 05 | May 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 534 Fig -4: Green Robot 5. CONCLUSIONS and FUTURE SCOPE This paper describes an IOT based green house monitoring system. The system is profitable as it optimizes the green house parameters. The complete system is low cost and is of low power operation. This technique can be extended with flood fill wall following algorithm so that it can be made applicable to house hold and official premises. REFERENCES [1]. M.K Gayathri and J. Jayasakthi, “Providing Smart Agricultural Solutions to Farmers for Better Yielding Using IOT,” 2015 IEEE International Conference on Technological Innovations for Agriculture and Rural Development. [2]. Viswanath Naik, “IOT based Green House Monitoring System”, International Journal for Electronics & Communication Engineering and Technology, vol 6,issue 6,June 2015,pp 45-47 [3]. P.S Asolkar, “An Effective Method of Controlling Green House and Crop Monitoring Using GSM”,2015 International Conference on Computing Communication Control and Automation. [4]. Orazio Mirabella, “Hybrid Wireless Networking Infrastructure for Green House Management”,IEEE transactions on Instrumentations and Measurement ,Vol 60,February 2011. [5]. M.Manscuo and F.Busttaffa, “A wireless Sensor Network for Monitoring Environmental Variables in Green House”, 6th IEEE International Workshop on Factory Communication System, June 2006.