Iot based Intelligent Greenhouse Monitoring and Control System Zaidon Faisal Shenan Ali Fadhil Marhoon Abbas A. Jasim Electrical Engineering Department

Data Transmission 
from Node 2 to Node 1 
The Subscribers 
Uploading/Downloading 
data from the Cloud 
Router (Gateway) 

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 ةيسدنهلا مولعلل ةرصبلا ةلجم
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دلجم
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router, after that the domain name will hold the public IP of 
user router even if it changed (dynamic IP). 
III. R
ESULTS
 
After completing the prescribed work and make sure of 
the 
correct 
execution 
in 
acceptable 
time. 
The 
implementation is divided into several parts: 
The first part was building the control systems 
(Hardware implementation and Fuzzy controller), the 
execution of the fuzzy controllers and managed the control 
systems was completely inside the microcontroller. The next 
section will present some result of an experiment on the 
control systems. The results of the cooling/heating system 
are depicted in Fig. 14. 
The set-point is 25° C and the starting temperature is 35° 
C. The case here is cooling, then put the appropriate polarity 
on the terminals of the Peltier, then output the PWM signal 
on Mosfet 640N to control the amount of current in result 
control on the heating produced and reaches the desired 
temperature in acceptable time. 
The result in Fig. 15 shows the response of the irrigation 
control system. The result in Fig. 16 illustrates the response 
of the system and how the system reaches the desired 
brightness degree in specific time. 
 
Fig. 14 Set-Point is 25° and the initial value is 35° 
Fig. 15 The set-point is 0.5 and system response. 
 
Fig. 16 the system response of light system control. 
The second part was making the system able to 
download the set-points from the website; this could be 
accomplished by utilizing the microcontroller plus Ethernet 
shield. The third part provided a feature of upload the 
system’s data on the website. Also, this function used the 
microcontroller and the Ethernet shield. Then should collect 
all the parts in one system, and employ a principle of 
execution technique to ensure high-performance and 
efficient system and no conflict in execution that may lead 
to deadlock. Fig. 17 had shown the entire result of the 
system. 
As illustrated in Fig. 17, the system starts to work by 
downloading the set-points from the web application. After 
that, operate the cooling/heating system, the irrigation 
system, and the lighting system depending on the set-points. 
Finally, upload the readout of the sensor to the web 
application. 
In order to calculate the system sampling time, each 
system should be determined individually. The temperature 
control system, irrigation control system, and light intensity 
control system are take 308, 259, and 115 msec respectively 
as shown in Fig. 17.
While, the IoT could be determined according the results 
that depicted in Table 1. 
Fig. 17 The entire performance of the system. 
TABLE1 T
HE 
I
O
T’
S 
T
IME CALCULATIONS