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Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
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Cloud IoT Based Greenhouse Monitoring System
Keerthi.v*, Dr.G.N.Kodandaramaiah**
*(Department of Embedded Systems, Kuppam Engineering College,JNT University, AP)
**(Department of ECE, Kuppam Engineering College, JNT University,AP)
ABSTRACT
This project explains the design and implementation of an electronic system based on GSM (Global System for
Mobile communication), cloud computing and Internet of Things (IoT) for sensing the climatic parameters in
the greenhouse. Based on the characteristics of accurate perception, efficient transmission and intelligent
synthesis of Internet of Things and cloud computing, the system can obtain real-time environmental information
for crop growth and then be transmitted. The system can monitor a variety of environmental parameters in
greenhouse effectively and meet the actual agricultural production requirements. Devices such as temperature
sensor, light sensor, relative humidity sensor and soil moisture sensor are integrated to demonstrate the proposed
system. This research focuses on developing a system that can automatically measure and monitor changes of
temperature, light, Humidity and moisture level in the greenhouse. The quantity and quality of production in
greenhouses can be increased. The procedure used in our system provides the owner with the details online
irrespective of their presence onsite. The main system collects environmental parameters inside greenhouse
tunnel every 30 seconds. The parameters that are collected by a network of sensors are being logged and stored
online using cloud computing and Internet of Things (IoT) together called as CloudIoT.
Keywords- Cloud computing, GSM modem, Internet of Things, lm35 sensor, moisture sensor, temperature
sensor, humidity sensor, solar panel
I. INTRODUCTION
The greenhouse industry is the fastest growing
sector worldwide. The greenhouse separates the crop
from the environment, thus providing some way of
shelter from the direct influence of the external
weather conditions.
This enables the production of crops which
otherwise could not be produced at that specific
location. The greenhouse enclosure enables the
manipulation of the crop environment. This asset
allows the farmer to improve the cultivation in a way
the plants need. It leads to higher crop yield,
prolonged production period, better quality, and less
use of protective chemicals. The added value per unit
area in greenhouse crops is much higher than that in
open-field cultivation. In moderate climate zones,
energy is needed, whereas in arid zones, the cooling
and availability of water is of major concern. The use
of materials and energy as well as crop yield and
quality can be influenced by operating the adjustable
components of greenhouse, such as heating and
cooling inputs, window opening, drip irrigation,
screening and CO2 dosage. Hence, it can be expected
that the way these controls are operated influences
the final economic result. To fully exploit the
enhanced possibilities for crop and resource
management in greenhouse, it is indispensable to
know the control variables with a remote sensing
system using the GSM. This is because it is almost
difficult for human being to manipulate and be
present every day near the system. Indeed, remote
communication systems are a major component of
the policy of modernization and technology transfer,
due to the increasing development of mobile
telecommunications.
Internet of Things (IoT) is the network of
physical things embedded with electronic circuits,
sensors, software and network connection which
enables these things to exchange data from one
another. IoT is the fusion of the digital and physical
world. In a world of IoT, millions of things or
devices will be interconnected and uniquely
identified on the Internet. The Internet of Things
allows objects to be sensed and controlled remotely
across existing network infrastructure, creating
opportunities for more direct integration between the
physical world and computer-based systems, and
resulting in improved efficiency, accuracy and
economic benefit. In near future, IoT is expected to
provide many more services like advanced
connectivity of physical objects over a wide network
and also many applications.
It is obvious to think that in using these services
provided by this technology, it is possible to control
and monitor systems from a distance using the GSM
network. Mobile internet are integrated-applications
as useful as home automation, industrial applications
for handling and remote monitoring of complex
systems but also in security systems, and protect
property and people. Most physical variables relevant
in a greenhouse can be measured by automatic
sensors. This holds for temperature, light, soil
RESEARCH ARTICLE OPEN ACCESS
Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
www.ijera.com 36 | P a g e
moisture, and relative humidity. Precipitation can
also be detected, although it is somewhat less
common. All the mentioned physical variables are
sampled and stored electronically at regular intervals
when something is changing. Overall, the
measurements provide quite a good input-output
picture of the physical part of the greenhouse crop
system. We propose a contribution to the
development of greenhouse monitoring. This paper
presents the design and development of an electronic
system based on a microcontroller that integrates
remote sensing functions rooted in the GSM network
and cloud computing using Internet of Things (IoT).
The system allows the acquisition of different
climatic parameters in an agricultural greenhouse and
in addition, this electronic system achieves the
remote monitoring of greenhouse solutions, by cloud
computing solutions (Internet of Things). The
system, also, includes a serial cable, a GSM,
conditional sensors, power interfaces and
microcontroller. An active SIM card is required to
communicate through GSM and cloud computing.
From last few years, there has been popularity in
rise of electronic technology for control of
greenhouse. The most prominent improvement in
technology based climate control is found in data
logging which means recording the data monitored
from the greenhouse. Greenhouse cultivation
represents a very important role in modern
agriculture. As the greenhouse usually equips with
various high-tech equipments, management tend to
be very complex. A fully automated greenhouse
control systems along with improved monitoring
system brings obvious benefit such as labor saving,
but far more importantly, it enables improved quality
of production and information gathering that will
make difference between earning a profit and
suffering substantial losses.
II. PROPOSED BLOCK DIAGRAM
Fig 1: block diagram of the proposed system
2.1 Block Diagram Explanation
Appropriate environmental conditions are
necessary for optimum plant growth, improved crop
yields, and efficient use of water and other resources.
Automating the data acquisition process of the soil
conditions and various climatic parameters that
govern plant growth allows information to be
collected with this system with less labour
Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
www.ijera.com 37 | P a g e
requirements. This GSM Greenhouse monitoring
systems employs PC or phone-based systems for
keeping the owner continuously informed of the
conditions inside the greenhouse.
This is a microcontroller-based circuit which
monitors and records the values of temperature,
humidity, soil moisture and sunlight of the natural
environment that are continuously updated as a log in
order to optimize them to achieve maximum plant
growth and yield.
An integrated Liquid crystal display (LCD) is
also used for real time display of data acquired from
the various sensors and the status of the various
devices. The system constantly monitors the digitized
parameters of the various sensors.
Monitoring and controlling of a greenhouse
environment involves sensing the changes occurring
inside it which can influence the rate of growth in
plants. The important parameters are the temperature
inside the greenhouse which affects the
photosynthetic and transpiration process, humidity,
moisture content in the soil, the illumination etc. The
sensors used in this
system are:
1. Soil moisture sensor
2. Light sensor
3. Humidity sensor
4. Temperature sensor
Soil moisture sensor
The two copper leads act as the sensor probes.
They are immersed into the specimen soil whose
moisture content is under test. The conductivity of
soil depends upon the amount of moisture present in
it. It increases with increase in the water content of
the soil that forms a conductive path between two
sensor probes leading to a close path to allow current
flowing through.
Light sensor
The light sensor is extremely sensitive in visible
light range. With the light sensor attached to the
system when the surrounding natural lights are low, it
displays the digital values.
Humidity sensor
Humidity sensor is used for sensing the vapours
in the air. The change in RH (Relative Humidity) of
the surroundings would result in display of values.
Temperature sensor
It is an integrated circuit sensor that can be used
to measure the temperature in the greenhouse. It
measures and displays the temperature values
periodically.
The hardware unit of the prototype of the system
is represented by the block diagram. It contains a
AT328P micro-controller as the main processing unit
and it gets inputs from the temperature sensor
(LM35), Light sensor (LDR), Humidity sensor
(HSM20G) and moisture sensor. From the data
obtained from the sensors , displays the values on a
LCD. The whole system gets power from either a DC
battery or a solar charging circuit which has a solar
panel. It also uses a GSM module which sends
information from the system to the owner. The
system operates according to the block diagram. The
readings from the sensors are analog values. The
analog input value is converted to a digital value
using ADC and given to the micro-controller for
further processing. In this system the temperature
sensor detects the current temperature value and
inputs it to pin of the microcontroller. The input is an
analog input and it is converted to a digital input and
calibrated .Then it is displayed. Similarly for
humidity, moisture and Light sensor. The output
values which is to be stored on to the cloud through
Internet of Things (IoT) is first transmitted out of the
microcontroller to GSM modem through USART
(Universal Synchronous and Asynchronous Receiver
and Transmitter). Level converters are used to match
the voltage levels of the microcontroller and GSM
modem. Finally the output parameters are logged on
to the cloud network periodically.
III. HARDWARE REQUIREMENTS
 Microcontroller (AT328P)
 Temperature sensor (LM35)
 Humidity sensor (HSM 20G)
 Moisture sensor
 Light sensor (LDR)
 16 *2 LCD display
 GSM module
 Solar charging circuit including solar panel
 DC battery
 Level converter
IV. ADVANTAGES OF THE
PROPOSED SYSTEM
 User friendly
 Easily implementable
 Focuses on main parameters
 Uses GSM because of their availability
 Easy network coverage
 Cloud computing procides Increased storage
 Easier group collaboration
 Resource continuity
V. RESULTS
The complete project module of IoT based
greenhouse monitoring system is shown in the figure
below:
Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
www.ijera.com 38 | P a g e
fig 2: complete project module
When the power supply is given either through a dc battery or through a solar charging circuit, the process
starts and the GSM SIM starts to find the network and the sensors start sensing the corresponding parameters
and are displayed on the LCD. The temperature is displayed in centigrade, humidity in percentage, and light in
terms of LUX.
These are the results which are displayed on the LCD on site.
fig 3: displaying the values of humidity, light and temperature
fig 4: displaying the values of three moisture sensors.
Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
www.ijera.com 39 | P a g e
These are the results displayed on the website: https://thingspeak.com/channels/31135
fig 5: displaying the logged temperature values
fig 6: displaying the logged humidity values
Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
www.ijera.com 40 | P a g e
fig 7: displaying the logged moisture values
fig 8: displaying the logged light values
VI. CONCLUSION AND FUTURE
SCOPE
This paper describes the design of a greenhouse
monitoring system based on CloudIoT. Agriculture
projects even in urban areas are on a rise in recent
times, in unique forms. technological progress makes
the agricultural sector grow high, which here is made
by the CloudIoT. The IoT will dramatically change
the way we live our daily lives and what information
is stored about us. This cloud computing is free to use
anytime and anywhere as long as the computer is
connected with the Internet. This monitoring system
percepts different parameters inside the greenhouse
using sensors, GSM, and cloud to provide the
updates. The developed system can be proved
profitable as it will optimize the resources in the
greenhouse. The complete module is of low cost, low
power operation hence, easily available to everyone.
Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41
www.ijera.com 41 | P a g e
This paper is a basic idea of the research regarding
greenhouse but still there is a lot more to be explored
technologically.
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Cloud IoT Based Greenhouse Monitoring System

  • 1. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 35 | P a g e Cloud IoT Based Greenhouse Monitoring System Keerthi.v*, Dr.G.N.Kodandaramaiah** *(Department of Embedded Systems, Kuppam Engineering College,JNT University, AP) **(Department of ECE, Kuppam Engineering College, JNT University,AP) ABSTRACT This project explains the design and implementation of an electronic system based on GSM (Global System for Mobile communication), cloud computing and Internet of Things (IoT) for sensing the climatic parameters in the greenhouse. Based on the characteristics of accurate perception, efficient transmission and intelligent synthesis of Internet of Things and cloud computing, the system can obtain real-time environmental information for crop growth and then be transmitted. The system can monitor a variety of environmental parameters in greenhouse effectively and meet the actual agricultural production requirements. Devices such as temperature sensor, light sensor, relative humidity sensor and soil moisture sensor are integrated to demonstrate the proposed system. This research focuses on developing a system that can automatically measure and monitor changes of temperature, light, Humidity and moisture level in the greenhouse. The quantity and quality of production in greenhouses can be increased. The procedure used in our system provides the owner with the details online irrespective of their presence onsite. The main system collects environmental parameters inside greenhouse tunnel every 30 seconds. The parameters that are collected by a network of sensors are being logged and stored online using cloud computing and Internet of Things (IoT) together called as CloudIoT. Keywords- Cloud computing, GSM modem, Internet of Things, lm35 sensor, moisture sensor, temperature sensor, humidity sensor, solar panel I. INTRODUCTION The greenhouse industry is the fastest growing sector worldwide. The greenhouse separates the crop from the environment, thus providing some way of shelter from the direct influence of the external weather conditions. This enables the production of crops which otherwise could not be produced at that specific location. The greenhouse enclosure enables the manipulation of the crop environment. This asset allows the farmer to improve the cultivation in a way the plants need. It leads to higher crop yield, prolonged production period, better quality, and less use of protective chemicals. The added value per unit area in greenhouse crops is much higher than that in open-field cultivation. In moderate climate zones, energy is needed, whereas in arid zones, the cooling and availability of water is of major concern. The use of materials and energy as well as crop yield and quality can be influenced by operating the adjustable components of greenhouse, such as heating and cooling inputs, window opening, drip irrigation, screening and CO2 dosage. Hence, it can be expected that the way these controls are operated influences the final economic result. To fully exploit the enhanced possibilities for crop and resource management in greenhouse, it is indispensable to know the control variables with a remote sensing system using the GSM. This is because it is almost difficult for human being to manipulate and be present every day near the system. Indeed, remote communication systems are a major component of the policy of modernization and technology transfer, due to the increasing development of mobile telecommunications. Internet of Things (IoT) is the network of physical things embedded with electronic circuits, sensors, software and network connection which enables these things to exchange data from one another. IoT is the fusion of the digital and physical world. In a world of IoT, millions of things or devices will be interconnected and uniquely identified on the Internet. The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economic benefit. In near future, IoT is expected to provide many more services like advanced connectivity of physical objects over a wide network and also many applications. It is obvious to think that in using these services provided by this technology, it is possible to control and monitor systems from a distance using the GSM network. Mobile internet are integrated-applications as useful as home automation, industrial applications for handling and remote monitoring of complex systems but also in security systems, and protect property and people. Most physical variables relevant in a greenhouse can be measured by automatic sensors. This holds for temperature, light, soil RESEARCH ARTICLE OPEN ACCESS
  • 2. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 36 | P a g e moisture, and relative humidity. Precipitation can also be detected, although it is somewhat less common. All the mentioned physical variables are sampled and stored electronically at regular intervals when something is changing. Overall, the measurements provide quite a good input-output picture of the physical part of the greenhouse crop system. We propose a contribution to the development of greenhouse monitoring. This paper presents the design and development of an electronic system based on a microcontroller that integrates remote sensing functions rooted in the GSM network and cloud computing using Internet of Things (IoT). The system allows the acquisition of different climatic parameters in an agricultural greenhouse and in addition, this electronic system achieves the remote monitoring of greenhouse solutions, by cloud computing solutions (Internet of Things). The system, also, includes a serial cable, a GSM, conditional sensors, power interfaces and microcontroller. An active SIM card is required to communicate through GSM and cloud computing. From last few years, there has been popularity in rise of electronic technology for control of greenhouse. The most prominent improvement in technology based climate control is found in data logging which means recording the data monitored from the greenhouse. Greenhouse cultivation represents a very important role in modern agriculture. As the greenhouse usually equips with various high-tech equipments, management tend to be very complex. A fully automated greenhouse control systems along with improved monitoring system brings obvious benefit such as labor saving, but far more importantly, it enables improved quality of production and information gathering that will make difference between earning a profit and suffering substantial losses. II. PROPOSED BLOCK DIAGRAM Fig 1: block diagram of the proposed system 2.1 Block Diagram Explanation Appropriate environmental conditions are necessary for optimum plant growth, improved crop yields, and efficient use of water and other resources. Automating the data acquisition process of the soil conditions and various climatic parameters that govern plant growth allows information to be collected with this system with less labour
  • 3. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 37 | P a g e requirements. This GSM Greenhouse monitoring systems employs PC or phone-based systems for keeping the owner continuously informed of the conditions inside the greenhouse. This is a microcontroller-based circuit which monitors and records the values of temperature, humidity, soil moisture and sunlight of the natural environment that are continuously updated as a log in order to optimize them to achieve maximum plant growth and yield. An integrated Liquid crystal display (LCD) is also used for real time display of data acquired from the various sensors and the status of the various devices. The system constantly monitors the digitized parameters of the various sensors. Monitoring and controlling of a greenhouse environment involves sensing the changes occurring inside it which can influence the rate of growth in plants. The important parameters are the temperature inside the greenhouse which affects the photosynthetic and transpiration process, humidity, moisture content in the soil, the illumination etc. The sensors used in this system are: 1. Soil moisture sensor 2. Light sensor 3. Humidity sensor 4. Temperature sensor Soil moisture sensor The two copper leads act as the sensor probes. They are immersed into the specimen soil whose moisture content is under test. The conductivity of soil depends upon the amount of moisture present in it. It increases with increase in the water content of the soil that forms a conductive path between two sensor probes leading to a close path to allow current flowing through. Light sensor The light sensor is extremely sensitive in visible light range. With the light sensor attached to the system when the surrounding natural lights are low, it displays the digital values. Humidity sensor Humidity sensor is used for sensing the vapours in the air. The change in RH (Relative Humidity) of the surroundings would result in display of values. Temperature sensor It is an integrated circuit sensor that can be used to measure the temperature in the greenhouse. It measures and displays the temperature values periodically. The hardware unit of the prototype of the system is represented by the block diagram. It contains a AT328P micro-controller as the main processing unit and it gets inputs from the temperature sensor (LM35), Light sensor (LDR), Humidity sensor (HSM20G) and moisture sensor. From the data obtained from the sensors , displays the values on a LCD. The whole system gets power from either a DC battery or a solar charging circuit which has a solar panel. It also uses a GSM module which sends information from the system to the owner. The system operates according to the block diagram. The readings from the sensors are analog values. The analog input value is converted to a digital value using ADC and given to the micro-controller for further processing. In this system the temperature sensor detects the current temperature value and inputs it to pin of the microcontroller. The input is an analog input and it is converted to a digital input and calibrated .Then it is displayed. Similarly for humidity, moisture and Light sensor. The output values which is to be stored on to the cloud through Internet of Things (IoT) is first transmitted out of the microcontroller to GSM modem through USART (Universal Synchronous and Asynchronous Receiver and Transmitter). Level converters are used to match the voltage levels of the microcontroller and GSM modem. Finally the output parameters are logged on to the cloud network periodically. III. HARDWARE REQUIREMENTS  Microcontroller (AT328P)  Temperature sensor (LM35)  Humidity sensor (HSM 20G)  Moisture sensor  Light sensor (LDR)  16 *2 LCD display  GSM module  Solar charging circuit including solar panel  DC battery  Level converter IV. ADVANTAGES OF THE PROPOSED SYSTEM  User friendly  Easily implementable  Focuses on main parameters  Uses GSM because of their availability  Easy network coverage  Cloud computing procides Increased storage  Easier group collaboration  Resource continuity V. RESULTS The complete project module of IoT based greenhouse monitoring system is shown in the figure below:
  • 4. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 38 | P a g e fig 2: complete project module When the power supply is given either through a dc battery or through a solar charging circuit, the process starts and the GSM SIM starts to find the network and the sensors start sensing the corresponding parameters and are displayed on the LCD. The temperature is displayed in centigrade, humidity in percentage, and light in terms of LUX. These are the results which are displayed on the LCD on site. fig 3: displaying the values of humidity, light and temperature fig 4: displaying the values of three moisture sensors.
  • 5. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 39 | P a g e These are the results displayed on the website: https://thingspeak.com/channels/31135 fig 5: displaying the logged temperature values fig 6: displaying the logged humidity values
  • 6. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 40 | P a g e fig 7: displaying the logged moisture values fig 8: displaying the logged light values VI. CONCLUSION AND FUTURE SCOPE This paper describes the design of a greenhouse monitoring system based on CloudIoT. Agriculture projects even in urban areas are on a rise in recent times, in unique forms. technological progress makes the agricultural sector grow high, which here is made by the CloudIoT. The IoT will dramatically change the way we live our daily lives and what information is stored about us. This cloud computing is free to use anytime and anywhere as long as the computer is connected with the Internet. This monitoring system percepts different parameters inside the greenhouse using sensors, GSM, and cloud to provide the updates. The developed system can be proved profitable as it will optimize the resources in the greenhouse. The complete module is of low cost, low power operation hence, easily available to everyone.
  • 7. Keerthi.v Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 10, (Part - 3) October 2015, pp.35-41 www.ijera.com 41 | P a g e This paper is a basic idea of the research regarding greenhouse but still there is a lot more to be explored technologically. REFERENCES [1.] Adedjouma A.S., Adjovi G., Agaï L. and Degbo B., 2006. A system of remote control car lock with a GSM based geo-location by GPS and GSM. African Journal of Research in Computer Science and Applied Mathematics, Vol. 1, pp. 1-8. [2.] Agostinho, L., Olivi, L., Feliciano, G., Paolieri, F., Rodrigues, D., Cardozo, E., and Guimaraes, E. (2011). A cloud computing environment for supporting networked robotics applications. In Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on, pages 1110 – 1116. [3.] Baille A., Kittas C. et Katsoulas N., 2001. Influence of whitening on greenhouse microclimate and crop energy partitioning. Journal of Agricultural and Forest Meteorology, Vol. 107, pp. 293-306. [4.] Benghanem M., 2009. Measurement of meteorological data based on wireless data acquisition system monitoring. Journal of Applied Energy, Vol. 86, pp. 2651-2660. [5.] Bouchikhi B., Eddahhak A., El Harzli M. et El Bari N., 2004. The sensors and their role in the measurement of climatic parameters for the management of irrigation water in greenhouse agriculture. International days of Science and Technologies, Cadiz,Tangier [6.] Bouchikhi B., El Harzli M., 2005. Design and realization of acquisition system and climatic parameters control under the greenhouse. Phys & Chem. News, Vol. 22, pp. 45-54. [7.] Dae-Heon P. and Jang-Woo P., 2011. Wireless sensor network-based greenhouse environment monitoring and automatic control system for dew condensation prevention. Journal of Sensors, Vol. 11, pp. 3640-3651. [8.] Dussion M. F., 1989. Greenhouse and energy. French Agency for Energy Management, p. 96. [9.] Eddahhak A., 2009. Development of a system for monitoring the climate and managing the drip fertilizing irrigation in greenhouse by using LabVIEW software. National PhD, Faculty of Sciences, Meknes, Moulay Ismail University, Morocco [10.] Eddahhak A., Lachhab A., Ezzine L. and Bouchikhi B., 2007. Performance evaluation of a developing greenhouse climate control with a computer system. AMSE Journal Modelling C, Vol. 68, No. 1, pp. 53-64. [11.] El-Fadl A., El Kherrak H., Claustriaux J. et Mounhim H., 1996. Computer aided management of greenhouse climate and influence on the culture of melon in the region of Souss. Choukr-Allah R. (ed.). Protected cultivation in the Mediterranean region. Notebooks Options Mediterranean Vol. 31, pp. 99-108. [12.] El Harzli M., 2009. Study and realization of a multifunctional sensor, heat flux, temperature and humidity. Application to the greenhouse control. National PhD , Faculty of Sciences, Meknes, Moulay Ismail University, Morocco [13.] Hayat Khiyal M. S., Khan A. and Shehzadi E., 2009. SMS Based Wireless Home Appliance Control System (HACS) for Automating Appliances and Security. Issues in Informing Science and Information Technology, Vol. 6, pp. 887-894. [14.] Lajara R., Alberola J. and Pelegrí-Sebastiá J., 2011. A Solar Energy Powered Autonomous Wireless Actuator Node for Irrigation Systems. Journal of Sensors. Vol. 11, pp. 329-340. [15.] Laszewski, G., Younge, A., He, X., Kunze, M., Tao, J., Fu, C., and Wang, L. Cloud computing: a perspective study. New Generation Computing, 28(2):137–146. [16.] Li X. H., Cheng X., Yan K. and Gong P., 2010. A monitoring system for vegetable greenhouses based on a wireless sensor network. Journal of Sensors, Vol. 10, pp. 8963-8980. [17.] Ji-chun Zhao; Ju-feng Zhang; Yu Feng; Jian-xin Guo, "The study and application of the IOT technology in agriculture," Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on, vol.2, no., pp.462,465, 9-11 July 2010.