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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 95
Autonomous Greenhouse using Internet of Things with ThingSpeak
Komanapalli Ganesh kumar1, Kuda Nageswara Rao2
1Student, Department of Computer Science & Systems Engineering, AU College of Engineering (A),
Andhra Pradesh
2Professor, Department of Computer Science & Systems Engineering, AU College of Engineering (A),
Andhra Pradesh
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Greenhouse forming gives high crop yield and
low risks against the obstacles like variable climatic
conditions, pests and insects. Autonomous greenhouse
advantages the farmers in different ways by detecting the soil
moisture, water quality and automatic irrigation. Thisprocess
is scientific. It boosts the benefits on agricultural tasks. The
greenhouse can be monitored by the IoT system and it collects
data and sends to the cloud server for further action making.
This paper deals with the system design and implementation
for IoT based agricultural greenhouse system for higher crop
yield. For device to device communication the system uses
ESP8266 Wi-Fi module. Objective of this paper is to leverage
an IoT based agriculture system in a greenhouse to reduce
human intervention by automatically detecting and
controlling different climatic conditions such as humidity, soil
moisture and light intensity to automatically monitor the
irrigation, aeration and lighting facilities of the greenhouse.
Key Words: IoT, Greenhouse, Cloud Server, Aeration,
Irrigation, Lighting
1. INTRODUCTION
The invention of new technologies in the domain of
information science and communication has stamped its
benefits for different applications. Specifically the
applications of IoT in agriculture is ever expanding hugely,
as it offers a well-controlled and automated farm for the
farmers, better forecast of weather and crop yields for the
agriculturists and knowledge on the consumingproducts for
the common people.
As in one side the designer food products count is increasing
significantly, and it is also our responsibility to preserveand
produce the natural food yields in well andfasterscale.Here,
we need the deployment of a fully-equipped and hence a
well-organized greenhouse which gives various benefits for
better agriculture production. Greenhouses provide
constrained shelter and a controlled environment for the
food crops, by providing the required temperature and
aeration. This temperature controlled atmosphere gives the
plants a healthy environment for its good yield in greenery,
flowers and fruits. Stunted growth in plants seen in open-air
nurture, delays the plant produce period. This can be
extremely avoided with the use of a greenhouse as it helps
the plants to maintain moisture in its surroundingandinthe
soil as well. For the growing and end of a plant’s normal life
cycle, it requires some vital factors like light [1], nutrients
absorbed from soil [2, 3], nutrients absorbed from air and
water, proper temperature and humidity [4, 5].
In the conventional process, the farmerhastovisittheentire
field regularly at odd hours to confirm the well-being of his
farm, which mostly includes the switching ON/OFFmotor to
ensure that his plants are watered.Sometimes,the plantsare
not watered enough and hence essential nutrients aren’t
absorbed from the soil. Sometimes, the motorpumpsareleft
running for longer than what is necessary because of the
effort involved to turn OFF the motor and hence leads to
water logging, rotting of roots and deprivation of oxygen
from the soil. Hence it is clearly evident that conventional
process lead to improper use and wastage of the resources
available.
Soil erosion andsalinization, eutrophication,waterdepletion
are some problems encountered withtraditional agriculture.
An automated greenhouse helpstomonitorthesoil moisture
and its nutrients levels, air moisture and macro nutrients,
and light intensity through several sensors. Agricultural
greenhouse enhances the management efficiency and
optimizes the agricultural resources [6, 7, 8, 9].
IoT takes agriculture a step above just the traditional
agricultural processes by collecting and analysis of sensed
data and decision making. This process can also actuate
various activities in anautomatedgreenhousesystem,which
supports the farmers in various ways and conserving their
efforts and time for further increasing the productivity.
Fogger in greenhouses helps to maintain moisture in air.
This prevents the drying of leaves and flowers and in turn
improves the production rate. Green house monitoring
devices can also have inbuilt energy harvesting modules to
increase the life time of the system. Various plant groups
requires various environmental support and nutrients,
greenhouse helps to grow such types of crops, and the
threshold based monitoring and actuating can also be
performed.
This paper contains the sections like system framework,
system model along with the methodology followed, results
and conclusion.
2. SYSTEM FRAMEWORK
This paper presents an autonomous greenhouse model
designed with low cost constraints and power efficiency. So
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 96
that helps the greenhouse farmers to attain good field yield.
Thisalso helps the technicians to monitorautomatedsystem.
The data which is sensed by the sensors can be used for
decision making activities and actuate the greenhouse end
devices.
Fig -1: System Framework
The system can be considered of having various levels, to
collect sensed data and actuate the end devices based on
sensed data. The end devicesareconnectedwiththeArduino.
The end devices are the following:
 Exhaust Fan
 Inlet Fan
 Light Source
 Water pump
Fig. 1 represents the system framework. The system
framework is described as follows:
A. DHT 11
The DHT 11 is the temperature andhumiditysensor.DHT 11
has the best features are its easy connection, good quality,
less expensive, anti-interference ability and accurate
calibration. It can cover the transmission area up to 20
meters.
B. Soil Moisture Sensor
Using a soil moisture sensor the amount of water content in
the soil can be measured.
C. Light Dependent Resistor (LDR)
This LDR can sense the light inside the greenhouse. As the
light intensity changes, LDR reacts with variable resistance.
The resistance of LDR decreases as the light intensity
increases.
D. Inlet and Exhaust Fans
These fans are used to push the heat outside and pull fresh
air from outside into the greenhouse. This maintains proper
air flow required for the in-house plants.
E. Water Pump
If the soil moisture level below or above the specified
threshold, the water pump activates and switch on or off
respectively.
F. ThingSpeak
ThingSpeak is an IoT analytics platform service that offers
you to aggregate, visualize, and analyze live data streams in
the cloud. You can also send data to ThingSpeak from your
arduino, create instant visualizations of live data. Without
setting up servers or developing web software, ThingSpeak
enables engineers and scientists to prototype and build IoT
systems.
3. SYSTEM MODELLING
The main objective of this research work is to concentrate
on monitoring the greenhouse and actuates irrigation,
aeration and lighting facility. The components used are:
 Arduino
 DHT 11
 Soil Moisture Sensor
 LDR
 Relay board
 5V DC power Supply
Arduino is an open-source microchipplatformbasedonuser
friendly hardware and software.Arduino boardsabletoread
inputs and turn it into outputs and publishing something
online. You can instruct your board what to do by sending a
set of instructions to the microcontroller unit on the board.
To do so you use the Arduino programming language(based
on connections), and the Arduino Software (IDE), based on
Processing.
Here various sensors used are temperature and humidity
sensor (DHT11), soil moisture sensor, LDR. The end devices
are the fans, water pump and LED light.
If the soil moisture value is below the specified threshold
value the motor switched ON and pumps the water through
the pipe. It can be done automatically and repeatedly until
reaching the specified thresholdvalue.Hereall thethreshold
values are taken from the farmer observation. Here LDR
stands for Light Dependent Resistor. It isusedformeasuring
the intensity of light inside the greenhouse. DHT11
Temperature and Humidity sensor for sensing temperature
and humidity values. If the temperaturevalueisgreaterthan
or equal to the threshold value then fan1 switched ON
automatically and OFF if it is less than the threshold.
If humidity value is less than or equal to the threshold value
the fan2 switched ON automatically and pull the air from
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 97
outside the greenhouse and OFF if it is greater than the
threshold. If the light intensity is equal to the threshold then
the LED turned ON automatically and OFF if it is not equal.
Fig. 2 shows the event flow of whole system. Here the data is
read from various sensors the sensed data is sent to the IoT
platform ThingSpeak server via internet using the ESP8266
module which is integrated on the device named Octabrix.
We can also use other ESP8266 modules.
Fig -2: Event Flow
Fig -2a
Fig. 2a-d describes set of actions carried out by the various
modules such as Temperature, Humidity, LDR and Soil
moisture respectively. It checks whether the parameter
values are below or the above the threshold values or not.
According to the conditions the actuators are activated and
deactivated.
Fig -2b
Fig -2c
Fig -2d
ThingSpeak is IoT platform which helps to collect, analyze
and visualize the data. It has TCP/IP for sending and
receiving the data. For that we create channels in
ThingSpeak. The sensed data is visualized in created
channels.
4. RESULTS AND DISCUSSION
The proposed system works goodanddeliveredthe effective
results. The end devices like light source, water pump and
fans inside the greenhouse activated according to the
threshold condition of parameters like temperature,
humidity, soil moisture values. The data collected from the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 98
arduino sent to the thingspeak server and data visualized in
the server.
Fig. 3 shows the values collected by the sensor DHT11
temperature and humidity and the soil moisture sensor. In
field1 chart 1 the humidity values arevaried. Thevariationis
in the form of increasing and decreasing and stable
sometime. So whenever the humidity value less than or
equal to the threshold value the fan switched on
automatically.
In Field2 chart the temperature values are varied. The
variation is in the form of increasing and decreasing and
stable sometime. So whenever the humidity value greater
than or equal to the threshold value the fan switched on
automatically.
Fig -2: Event Flow
In Field3 chart the soil moisture values are varied. The
variation is in the form of increasing and decreasing and
stable sometime. So whenever the humidity value greater
less than or equal to the threshold value the water pump
switched on automatically. In the same way Felid4 chart
visualized in the thingspeak. The light will be on and off
according to the LDR sensor module threshold value
condition.
4. CONCLUSIONS
In the traditional agriculture methods the farmer is
compulsory to visit the agricultural land to observe the
climatic conditions. This paper determines the design and
implementation of autonomous greenhousesystem.Itisone
of the application of IoT in agriculture. It reduces the farmer
involvement. The threshold values are taken in thepresence
of farmer, because the conditions are changed. Through this
efficient system, we are able to sense the parameters
regarding to the aeration, lighting and irrigation.Thesensed
data sent to cloud platform i.e. ThingSpeak server. The data
collected in the server is visualized. The collected data is to
be used for preparing the good crop yield andsuitablecrops.
Future scope of this project is to add additional sensors for
better maintenance for example if we add MQ2 smoke
sensor it detects the flammable gas, smokeand givesignal as
the output. The data collected from the client arduino is
analyzed so we can use that analyzed data and apply data
mining algorithms on it.
REFERENCES
1) https://www.growveg.com/
2) R. L. Njinga, M. N. Moyo, and S. Y. Abdulmaliq,
“Analysis of Essential Elements for plants growth
using Instrumental Neutron Activation Analysis”,
International Journal of Agronomy, Article ID
156520, 2013.
3) https://www.maximumyield.com/
4) Jeff Iles, “Requirements for Plant Growth”, Iowa
State University (White Paper).
5) “Soil pH and Plant Nutrients”, Agri-Facts,May2003.
6) TiantianGuo, WeizhuZhong, “Design and
ImplementationoftheSpan GreenhouseAgriculture
Internet of Things System”, IEEE International
Conference on FluidPowerandMechatronics,2015.
7) Cui Wenshun, Yuan Lizhe, Cui Shuo, Shang
Jiancheng, “Design and Implementation of Sunlight
Greenhouse Service Platform Based on IoT and
Cloud Computing”, IEEE 2nd International
Conference on Measurement, Information and
Control, 2013.
8) Zhaochan Li, Jinlong Wang, Russell Higgs,Li Zhou,
Wenbin Yuan, “Design ofanIntelligentManagement
System for Agricultural Greenhouses based on the
Internet of Things”, IEEE CSE- EUC, 2017.
9) Incoll, M G Lefsrud and G Pitkin, “Guidelines for
measuring and reporting environmental
parameters for experiments in greenhouses”,
Springer, Plant Methods, 2015.
10) https://www.iotforall.com/iot-applications-in-
agriculture/
11) N.B. Bhawarkar, D.P. Pande, R.S. Sonone, Mohd.
Aaquib, P.A. Pandit, and P. D. Patil, “Literature
Review for Automated Water Supply with
Monitoring the Performance System”,International
Journal of Current EngineeringandTechnology,Vol.
4, No. 5, Oct 2014.
12) http://www.circuitstoday.com/ldr-light-
dependent-resistors
13) Rane, et al.,"Review Paper Based On Automatic
Irrigation System Based on RF Module", 2014.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 99
14) https://www.circuitstoday.com/ldr-light-
dependent resistors.
15) http://en.wikipedia.org/wiki/Greenhouse

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IOT Greenhouse

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 95 Autonomous Greenhouse using Internet of Things with ThingSpeak Komanapalli Ganesh kumar1, Kuda Nageswara Rao2 1Student, Department of Computer Science & Systems Engineering, AU College of Engineering (A), Andhra Pradesh 2Professor, Department of Computer Science & Systems Engineering, AU College of Engineering (A), Andhra Pradesh ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Greenhouse forming gives high crop yield and low risks against the obstacles like variable climatic conditions, pests and insects. Autonomous greenhouse advantages the farmers in different ways by detecting the soil moisture, water quality and automatic irrigation. Thisprocess is scientific. It boosts the benefits on agricultural tasks. The greenhouse can be monitored by the IoT system and it collects data and sends to the cloud server for further action making. This paper deals with the system design and implementation for IoT based agricultural greenhouse system for higher crop yield. For device to device communication the system uses ESP8266 Wi-Fi module. Objective of this paper is to leverage an IoT based agriculture system in a greenhouse to reduce human intervention by automatically detecting and controlling different climatic conditions such as humidity, soil moisture and light intensity to automatically monitor the irrigation, aeration and lighting facilities of the greenhouse. Key Words: IoT, Greenhouse, Cloud Server, Aeration, Irrigation, Lighting 1. INTRODUCTION The invention of new technologies in the domain of information science and communication has stamped its benefits for different applications. Specifically the applications of IoT in agriculture is ever expanding hugely, as it offers a well-controlled and automated farm for the farmers, better forecast of weather and crop yields for the agriculturists and knowledge on the consumingproducts for the common people. As in one side the designer food products count is increasing significantly, and it is also our responsibility to preserveand produce the natural food yields in well andfasterscale.Here, we need the deployment of a fully-equipped and hence a well-organized greenhouse which gives various benefits for better agriculture production. Greenhouses provide constrained shelter and a controlled environment for the food crops, by providing the required temperature and aeration. This temperature controlled atmosphere gives the plants a healthy environment for its good yield in greenery, flowers and fruits. Stunted growth in plants seen in open-air nurture, delays the plant produce period. This can be extremely avoided with the use of a greenhouse as it helps the plants to maintain moisture in its surroundingandinthe soil as well. For the growing and end of a plant’s normal life cycle, it requires some vital factors like light [1], nutrients absorbed from soil [2, 3], nutrients absorbed from air and water, proper temperature and humidity [4, 5]. In the conventional process, the farmerhastovisittheentire field regularly at odd hours to confirm the well-being of his farm, which mostly includes the switching ON/OFFmotor to ensure that his plants are watered.Sometimes,the plantsare not watered enough and hence essential nutrients aren’t absorbed from the soil. Sometimes, the motorpumpsareleft running for longer than what is necessary because of the effort involved to turn OFF the motor and hence leads to water logging, rotting of roots and deprivation of oxygen from the soil. Hence it is clearly evident that conventional process lead to improper use and wastage of the resources available. Soil erosion andsalinization, eutrophication,waterdepletion are some problems encountered withtraditional agriculture. An automated greenhouse helpstomonitorthesoil moisture and its nutrients levels, air moisture and macro nutrients, and light intensity through several sensors. Agricultural greenhouse enhances the management efficiency and optimizes the agricultural resources [6, 7, 8, 9]. IoT takes agriculture a step above just the traditional agricultural processes by collecting and analysis of sensed data and decision making. This process can also actuate various activities in anautomatedgreenhousesystem,which supports the farmers in various ways and conserving their efforts and time for further increasing the productivity. Fogger in greenhouses helps to maintain moisture in air. This prevents the drying of leaves and flowers and in turn improves the production rate. Green house monitoring devices can also have inbuilt energy harvesting modules to increase the life time of the system. Various plant groups requires various environmental support and nutrients, greenhouse helps to grow such types of crops, and the threshold based monitoring and actuating can also be performed. This paper contains the sections like system framework, system model along with the methodology followed, results and conclusion. 2. SYSTEM FRAMEWORK This paper presents an autonomous greenhouse model designed with low cost constraints and power efficiency. So
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 96 that helps the greenhouse farmers to attain good field yield. Thisalso helps the technicians to monitorautomatedsystem. The data which is sensed by the sensors can be used for decision making activities and actuate the greenhouse end devices. Fig -1: System Framework The system can be considered of having various levels, to collect sensed data and actuate the end devices based on sensed data. The end devicesareconnectedwiththeArduino. The end devices are the following:  Exhaust Fan  Inlet Fan  Light Source  Water pump Fig. 1 represents the system framework. The system framework is described as follows: A. DHT 11 The DHT 11 is the temperature andhumiditysensor.DHT 11 has the best features are its easy connection, good quality, less expensive, anti-interference ability and accurate calibration. It can cover the transmission area up to 20 meters. B. Soil Moisture Sensor Using a soil moisture sensor the amount of water content in the soil can be measured. C. Light Dependent Resistor (LDR) This LDR can sense the light inside the greenhouse. As the light intensity changes, LDR reacts with variable resistance. The resistance of LDR decreases as the light intensity increases. D. Inlet and Exhaust Fans These fans are used to push the heat outside and pull fresh air from outside into the greenhouse. This maintains proper air flow required for the in-house plants. E. Water Pump If the soil moisture level below or above the specified threshold, the water pump activates and switch on or off respectively. F. ThingSpeak ThingSpeak is an IoT analytics platform service that offers you to aggregate, visualize, and analyze live data streams in the cloud. You can also send data to ThingSpeak from your arduino, create instant visualizations of live data. Without setting up servers or developing web software, ThingSpeak enables engineers and scientists to prototype and build IoT systems. 3. SYSTEM MODELLING The main objective of this research work is to concentrate on monitoring the greenhouse and actuates irrigation, aeration and lighting facility. The components used are:  Arduino  DHT 11  Soil Moisture Sensor  LDR  Relay board  5V DC power Supply Arduino is an open-source microchipplatformbasedonuser friendly hardware and software.Arduino boardsabletoread inputs and turn it into outputs and publishing something online. You can instruct your board what to do by sending a set of instructions to the microcontroller unit on the board. To do so you use the Arduino programming language(based on connections), and the Arduino Software (IDE), based on Processing. Here various sensors used are temperature and humidity sensor (DHT11), soil moisture sensor, LDR. The end devices are the fans, water pump and LED light. If the soil moisture value is below the specified threshold value the motor switched ON and pumps the water through the pipe. It can be done automatically and repeatedly until reaching the specified thresholdvalue.Hereall thethreshold values are taken from the farmer observation. Here LDR stands for Light Dependent Resistor. It isusedformeasuring the intensity of light inside the greenhouse. DHT11 Temperature and Humidity sensor for sensing temperature and humidity values. If the temperaturevalueisgreaterthan or equal to the threshold value then fan1 switched ON automatically and OFF if it is less than the threshold. If humidity value is less than or equal to the threshold value the fan2 switched ON automatically and pull the air from
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 97 outside the greenhouse and OFF if it is greater than the threshold. If the light intensity is equal to the threshold then the LED turned ON automatically and OFF if it is not equal. Fig. 2 shows the event flow of whole system. Here the data is read from various sensors the sensed data is sent to the IoT platform ThingSpeak server via internet using the ESP8266 module which is integrated on the device named Octabrix. We can also use other ESP8266 modules. Fig -2: Event Flow Fig -2a Fig. 2a-d describes set of actions carried out by the various modules such as Temperature, Humidity, LDR and Soil moisture respectively. It checks whether the parameter values are below or the above the threshold values or not. According to the conditions the actuators are activated and deactivated. Fig -2b Fig -2c Fig -2d ThingSpeak is IoT platform which helps to collect, analyze and visualize the data. It has TCP/IP for sending and receiving the data. For that we create channels in ThingSpeak. The sensed data is visualized in created channels. 4. RESULTS AND DISCUSSION The proposed system works goodanddeliveredthe effective results. The end devices like light source, water pump and fans inside the greenhouse activated according to the threshold condition of parameters like temperature, humidity, soil moisture values. The data collected from the
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 98 arduino sent to the thingspeak server and data visualized in the server. Fig. 3 shows the values collected by the sensor DHT11 temperature and humidity and the soil moisture sensor. In field1 chart 1 the humidity values arevaried. Thevariationis in the form of increasing and decreasing and stable sometime. So whenever the humidity value less than or equal to the threshold value the fan switched on automatically. In Field2 chart the temperature values are varied. The variation is in the form of increasing and decreasing and stable sometime. So whenever the humidity value greater than or equal to the threshold value the fan switched on automatically. Fig -2: Event Flow In Field3 chart the soil moisture values are varied. The variation is in the form of increasing and decreasing and stable sometime. So whenever the humidity value greater less than or equal to the threshold value the water pump switched on automatically. In the same way Felid4 chart visualized in the thingspeak. The light will be on and off according to the LDR sensor module threshold value condition. 4. CONCLUSIONS In the traditional agriculture methods the farmer is compulsory to visit the agricultural land to observe the climatic conditions. This paper determines the design and implementation of autonomous greenhousesystem.Itisone of the application of IoT in agriculture. It reduces the farmer involvement. The threshold values are taken in thepresence of farmer, because the conditions are changed. Through this efficient system, we are able to sense the parameters regarding to the aeration, lighting and irrigation.Thesensed data sent to cloud platform i.e. ThingSpeak server. The data collected in the server is visualized. The collected data is to be used for preparing the good crop yield andsuitablecrops. Future scope of this project is to add additional sensors for better maintenance for example if we add MQ2 smoke sensor it detects the flammable gas, smokeand givesignal as the output. The data collected from the client arduino is analyzed so we can use that analyzed data and apply data mining algorithms on it. REFERENCES 1) https://www.growveg.com/ 2) R. L. Njinga, M. N. Moyo, and S. Y. Abdulmaliq, “Analysis of Essential Elements for plants growth using Instrumental Neutron Activation Analysis”, International Journal of Agronomy, Article ID 156520, 2013. 3) https://www.maximumyield.com/ 4) Jeff Iles, “Requirements for Plant Growth”, Iowa State University (White Paper). 5) “Soil pH and Plant Nutrients”, Agri-Facts,May2003. 6) TiantianGuo, WeizhuZhong, “Design and ImplementationoftheSpan GreenhouseAgriculture Internet of Things System”, IEEE International Conference on FluidPowerandMechatronics,2015. 7) Cui Wenshun, Yuan Lizhe, Cui Shuo, Shang Jiancheng, “Design and Implementation of Sunlight Greenhouse Service Platform Based on IoT and Cloud Computing”, IEEE 2nd International Conference on Measurement, Information and Control, 2013. 8) Zhaochan Li, Jinlong Wang, Russell Higgs,Li Zhou, Wenbin Yuan, “Design ofanIntelligentManagement System for Agricultural Greenhouses based on the Internet of Things”, IEEE CSE- EUC, 2017. 9) Incoll, M G Lefsrud and G Pitkin, “Guidelines for measuring and reporting environmental parameters for experiments in greenhouses”, Springer, Plant Methods, 2015. 10) https://www.iotforall.com/iot-applications-in- agriculture/ 11) N.B. Bhawarkar, D.P. Pande, R.S. Sonone, Mohd. Aaquib, P.A. Pandit, and P. D. Patil, “Literature Review for Automated Water Supply with Monitoring the Performance System”,International Journal of Current EngineeringandTechnology,Vol. 4, No. 5, Oct 2014. 12) http://www.circuitstoday.com/ldr-light- dependent-resistors 13) Rane, et al.,"Review Paper Based On Automatic Irrigation System Based on RF Module", 2014.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 10 | Oct 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 99 14) https://www.circuitstoday.com/ldr-light- dependent resistors. 15) http://en.wikipedia.org/wiki/Greenhouse