THE 3 rd INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
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voltage, 100Ah capacity,10-15A current range and the tubular as the type of
the battery.
In order to receive the sensor values, the Arduino mega is being utilized.
As a motor, DC Pump motor is
an open well type water pump. It works on
12V DC supply. It is optimal for the usage. The suitable pipe is connected to
the pump at inlet and the outlet. The motor is compact. Besides that, the
motor can be controlled via the Arduino depending on the outputs of the
sensors.
By installing Ethernet library files in the Arduino mega, the Ethernet
shield is utilized for supplying the internet connections to the Arduino. It is
constructed above the Arduino and it works with the help of Arduino supply.
It has various features like memory card slot for the storage purpose, reset
button, analog and digital pin slots for input and output process. It is used to
send email notifications to the user and to notify the sensor values in the
BLYNK app.
The Image Processing technique has Raspberry Pi 3, memory card,
USB web camera. USB WEB camera is for capturing the image of the plants
for a given period of time. The Raspberry pi process the pixels in the images
captured by the web camera to find whether the plants leaves are in healthy,
partially infected or in totally infected condition. Then the condition of the
plants/crops are send to the users’ email with the pictures captured. In image
processing technique, OPEN CV and RASPBIAN OS is installed on the
Raspberry pi 3. OPEN CV is an open source programming software that runs
on the following operating systems: WINDOWS, LINUX, IOS, MACOS etc. It
operates on the C, C++, PYTHON, MATLAB and some other programming
languages. BLYNK android App is for monitoring the soil moisture and
humidity sensor outputs and the status of the DC pump. The status of the
pump is then sent to the user via Email which is done by Email widget on the
app. With the help of both IOT and Image processing techniques, Smart
Irrigation Systems can be installed in order to maintain a properly irrigated
field.
References [1] Dr.N.Prakash, V R.Balaji, M.Sudha, “solar powered automated irrigation system for
agriculture”, International Journal of Advanced Engineering Technology, Vol. VII,Issue II,
page No: 1225-1233,April-June,2016.
[2] V R.Balaji, M.Sudha, “Solar Powered Auto Irrigation System”, International Journal of
Emerging Technology in Computer Science & Electronics, Volume 20 ,Issue 2, ISSN:
0976-1353, February 2016.
[3] Dr.V.Vidya Devi,G.Meena Kumari, “Real- Time Automation and Monitoring System for
Modernized Agriculture” International Journal of Review and Research in Applied Sciences
and Engineering (IJRRASE), Volume 3, PP 7-12, ISSN: 2231-0061X, March 2013
[4] Nikesh Gondchawar, Dr. R.S.Kawitkar, “IoT Based Smart Agriculture”,International
Journal on recent and innovation trends in Computing and Communication, Volume 5,
Issue 2, PP 177-181, ISSN: 2321-8169, Feb 2016