Sensor Based Smart Monitoring and Controlling System for Cultivation using Labview

Abstract

Agriculture is the most important back bone of India. Now a day's farmers are reduced because of various problems like water problem, real estate, technology etc. Here our proposed system is to make use of existing technology to improve the farming percentage, gardening and nursery in a smart, effective and accurate method. Our proposed design is an automatic smart monitoring and controlling field system based on IoT which is implemented with NI LabVIEW and NI myRIO interfacing device. NI LabVIEW is a tool for testing, automation, measurement and monitoring system. NI myRIO is an embedded hardware where sensors like Temperature sensor, Moisture sensor, Rain sensor, Humidity sensor, Motor and communication protocols are interfaced with the help of LabVIEW. In this paper, we proposed ground water harvesting though that rain water is stored in the water tank which can be used in future for sprinkling water when soil moisture is less. This proposed design is the best way of economical accuracy and low-cost maintenance system. The concept of IoT in this paper is to monitor the status of the field like water level indicator in the tank, temperature of the field, to know the moisture of the field and detection of rain by using mobile phone or PC or Tab form any part of the world. This research will help the small-scale, mid-scale and high-level forming lands and it will increase the yield percentage and save the agriculture.

Full text

International Journal of Innovative Technology and Exploring Engineering (IJITEE)
ISSN: 2278-3075, Volume-8 Issue-11, September 2019
3687
Published By:
Blue Eyes Intelligence Engineering
& Sciences Publication
Retrieval Number K19950981119/2019©BEIESP
DOI:10.35940/ijitee.K1995.0981119

Abstract: Agriculture is the most important back bone of India.
Now a day’s farmers are reduced because of various problems
like water problem, real estate, technology etc. Here our proposed
system is to make use of existing technology to improve the
farming percentage, gardening and nursery in a smart, effective
and accurate method. Our proposed design is an automatic smart
monitoring and controlling field system based on IoT which is
implemented with NI LabVIEW and NI myRIO interfacing
device. NI LabVIEW is a tool for testing, automation,
measurement and monitoring system. NI myRIO is an embedded
hardware where sensors like Temperature sensor, Moisture
sensor, Rain sensor, Humidity sensor, Motor and communication
protocols are interfaced with the help of LabVIEW. In this paper,
we proposed ground water harvesting though that rain water is
stored in the water tank which can be used in future for
sprinkling water when soil moisture is less. This proposed design
is the best way of economical accuracy and low-cost maintenance
system. The concept of IoT in this paper is to monitor the status of
the field like water level indicator in the tank, temperature of the
field, to know the moisture of the field and detection of rain by
using mobile phone or PC or Tab form any part of the world. This
research will help the small-scale, mid-scale and high-level
forming lands and it will increase the yield percentage and save
the agriculture.
Index Terms: IoT, NI LabVIEW, NI myRIO, Sensors,
Monitoring and controlling system.
I. INTRODUCTION
In order to make smart field system which helps the farmers
for easy farming technique, we used LabVIEW for better
programming and accuracy of sensor values [1-2].LabVIEW
is a virtual instrument were sensor readings and data’s can be
monitored and controlled [3]. NI myRIO is an embedded
device was we have interfaced all the sensors and myRIO is
programmed with LabVIEW. This is the automation process
and closed loop system were Moisture sensor, Rain sensor,
IR sensor, Temperature sensor and Motor are inter linked
with LabVIEW and IOT.
Revised Manuscript Received on September 07, 2019
Ch.Narendrakumar, Associate Professor, Department of EEE, Malla
Reddy Engineering College (A), Maisammaguda, Hyderabad, India.
M.Pradeep, Department of ECE, Shri Vishnu Engineering College for
Women (A),Bhimavaram,India.
N.Rajeswaran, Professor, Department of EEE, Malla Reddy
Engineering College (A), Maisammaguda, Hyderabad, India.
T.Samraj Lawrence , Department of CSE, Francis Xavier Engineering
College(A),Tirunelveli,India.
Figure 1: Smart Field System using IoT
In Figure 1 shows the smart filed system integrated with
sensors and system. The farmer will get the immediate
message from data base server about the weather condition in
real time monitoring from remote locations. Based on the
information he can able to do the work in the field. This smart
field system using IoT reduce the burden of the farmer in
weather monitoring and will yield more crops in their fields
in better way [4].
II. SENSORS
Thingspeak is clouds sever where you can store you real time
data and can be monitored and controlled from any part of the
world [5-6]. NI myRIO: NI myRIO is an embedded hardware
where sensors like Temperature sensor, Moisture sensor,
Rain sensor, Humidity sensor, Motor and communication
protocols are interfaced with the help of LabVIEW [7].
Sensor Based Smart Monitoring and
Controlling System for Cultivation using
Labview
Ch.NarendraKumar, M.Pradeep, N.Rajeswaran, T.SamrajLawrence
Monitoring
& Control
Unit
Senso
rs

Sensor Based Smart Monitoring and Controlling System for Cultivation using Labview
3688
Published By:
Blue Eyes Intelligence Engineering
& Sciences Publication
Retrieval Number K19950981119/2019©BEIESP
DOI:10.35940/ijitee.K1995.0981119
Figure 2 : Block diagram of Interfacing unit
In Figure 3 in our proposal, we used rain sensor to detect
weather it is raining or not. If it is raining ground water must
be stored in the tank and sprinkler should be off if it is on.
Behalf of it we are measuring the rain level and monitored
through IoT.
Figure 3: Rain Sensor-HL
In Figure 4, Soil moisture sensor is to detect the moisture
of the soil and gives the reading to myRIO. myRIO will send
data to cloud.
Figure 4: Moisture Sensor-YL69
In Figure 5, our proposal we used IR Sensor to check the
tank level. If tank level is less than the threshold value motor
is on to fill the water if water reaches the threshold IR sensor
will detect and send signal to myRIO to stop the motor.
Figure 5: IR Sensor
The effective distance range 2 ~ 10cm working voltage of
3.3V-5V.The detection range of the sensor can be adjusted
by the potentiometer, with little interference, easy to
assemble, easy to use features, can be widely used robot
obstacle avoidance, obstacle avoidance car assembly line
count and black-and-white line tracking and many other
occasions.
In Figure 6, the purpose of tank motor is to fill the tank
when water level is less than 90%. If it is raining the tank
motor will be off.
Figure 6: 5v DC Motor
In Figure 7, the purpose of sprinkler is to sprinkle the
water automatically when the soil moisture is less than the
threshold level.
Figure 7: Sprinkler
Figure 8: LabVIEW Interface for Proposed Model
Rain
Sensor
LabView
Motor
Thingspea
k
IR Sensor
Temperatur
e Sensor
Moisture
Sensor

International Journal of Innovative Technology and Exploring Engineering (IJITEE)
ISSN: 2278-3075, Volume-8 Issue-11, September 2019
3687
Published By:
Blue Eyes Intelligence Engineering
& Sciences Publication
Retrieval Number K19950981119/2019©BEIESP
DOI:10.35940/ijitee.K1995.0981119
I. PROPOSED TECHNIQUE
In Figure: 8 the block diagram of LabVIEW Interface for
smart field system is shown. It will give graphical analysis of
the rain sensor, temperature sensor and moisture sensor
whenever the hardware module of system is connected to
software. The motor can also be manually controlled in the
Graphical user interface. The status of the motor pump is also
shown in the LabVIEW GUI for easy analysis of the moisture
and rain sensor module. LabVIEW is a tool which uses
Graphical programming language for testing, measuring,
monitoring and automation. NI LabVIEW is used to program
myRIO to interface sensors [7].
The following steps are the proposed system undergoes.
Step 1: Data Initialization and power supply to interface
devices - START
Step 2: Read the Temperature(T) range.
Step 3: If T <= Fixed threshold value, the pump in OFF
mode i.e, No irrigation in the field.
Step 4: if T > Fixed threshold value, the pump in ON mode
i.e, Start irrigation in the field.
Step 5: Read the Moisture (M) level
Step 6: If M > Fixed threshold value, no need to irrigation,
the pump will be off.
Step 7 : Read Rain (R) Also if it’s raining, repeat step 6.
Step8: : if T > Fixed threshold value, and no rain
conditions the pump in ON mode i.e, Start irrigation in the
field.
Step 9: Initialization of pump and displaying data on
LabVIEW interface and Thingspeak. GUI can also control
the motor manually.
Step10: Once the process is completed, it returns back to
original state (step3).
Step11:Process STOP.
In LabVIEW front panel all the indicators are placed so that
farmer can know what is happening in the field through
mobile phone. When moisture of the soil is very less the
sprinkler motor will automatically starts and prays the water
till the moisture of the soil is above threshold point. When
there is a rain, the rain sensor will detect the rain and stops the
sprinkler motor if it is on and stores the rain water into the
water tank through ground water harvesting. IR sensor is used
to detect the water level in the water tank, if the water in the
tank is less than 90% the motor with automatically on to fill
the tank. This project is a feedback system in which all the
sensors interfaced with myRIO will communicate with each
other and works accordingly. The Table 1 shows the different
range of setting used in the LabView module for the
simulation. Table 1: Simulation Parameters
Sl.No
Parameters
Range
1.
Digital Input
0 or 1 Logic
2.
Analog Output
0 to 5 V
3.
Temperature Sensor
0 to 5 V
4.
Rain Sensor
0 to 5 V
5.
Moisture Sensor
0 to 5 V
6.
Water Tank
0 to 5 V
7.
Motor
0 or 1 Logic
8.
Sprinkler
0 or 1 Logic
II. RESULTS & DISCUSSIONS
Table 2 shown the experimental setup connected to myRIO
and sensors.
Table 2: Experimental Output
Figure 9: Experimental setup
In Figure 9 graph indicates the soil moisture percentage
range with respect to time, when its percentage range is less
than 40% the sprinkler will automatically switch on, when
the moisture percentage is more than 40% the sprinkler will
be automatically switched off.
Figure 10: Experimental setup
In Figure 10, graph indicates the detection of rain. When
there is rain there will be change in graph or else constant
line will be displayed.

Sensor Based Smart Monitoring and Controlling System for Cultivation using Labview
3688
Published By:
Blue Eyes Intelligence Engineering
& Sciences Publication
Retrieval Number K19950981119/2019©BEIESP
DOI:10.35940/ijitee.K1995.0981119
Figure 11: Temperature monitoring
In Figure 11 graph indicates the field temperature. Based on
high /low indicator in the front panel the former can do the
necessary actions to be performed.
Figure 12: Level of Indicators
In Figure 12, different level of indicators indicates whether
temperature is in range or not, sprinkler is on /off, Motor is
on /off, is it raining or not and rain water and motor water
will be stored in water tank.
Figure 13: Monitoring and Controlling system
In Figure.13 the front panel screen which is displayed to
farmer in mobile phone through cloud. Based on this the
farmer can do agriculture from home are from office. This is
the reason making this forming as smart field system.
III. CONCLUSION
This concept is a similar design technique of monitoring and
controlling the farming parameters using LabVIEW.
Providing valuable tools that need to build any measurement
or control application graphically in less time, LabVIEW is
the unique development tool for innovation, discovery and
accelerated solution for human problems. We have
combined the power of LabVIEW software with
reconfigurable hardware myRIO to overcome the ever -
increasing complexity involved in providing measurement
and control systems on right time and less cost. The rain
sensor is very important to avoid unnecessary power
wastage by motor as well as saving the water. Moisture
measuring is critical in agriculture to help farmers
manipulate their irrigation process more successfully. This
paper will help the farmers to use less water to grow a crop
though increase growth in yields. Embedded system for
computerized irrigation of agriculture gives a real-time
solution to assist web page- precise irrigation control which
permits farmers to increase their productivity and develop
the nation.
REFERENCES
1. Imran Ali Lakhiar, Gao Jianmin, Tabinda Naz Syed, Farman Ali
Chandio, Noman Ali Buttar, and Waqar Ahmed Qureshi, “Monitoring
and Control Systems in Agriculture Using Intelligent Sensor
Techniques: A Review of the Aeroponic System,” Journal of Sensors,
vol. 2018, Article ID 8672769, 18 pages,
2018.https://doi.org/10.1155/2018/8672769.
2. L. Levidow, D. Zaccaria, R. Maia, E. Vivas, M. Todorovic, and A.
Scardigno, “Improving water-efficient irrigation: prospects and
difficulties of innovative practices,” Agricultural Water Management,
vol. 146, pp. 84–94, 2014.
3. Nisha Kushwaha , N.S. Beniwal, “Smart Field System using LabVIEW
and IoT”, International Journal of Advanced Research in Computer and
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4. Sarah Maria Louis and S. Srinithi,“Monitoring of Relative Humidity of
Soil Using LabVIEW” , Vol 3 Issue 3,PP 97-99,March 2014.
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Smart Poultry Farm using LabVIEW,” International Research Journal
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PP107-111, Dec -2016.
6. Drishti Kanjilal, Divyata Singh, Rakhi Reddy, Prof Jimmy Mathew,
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IRRIGATION SYSTEM”, International Journal of Pure and Applied
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AUTHORS PROFILE
Mr. Ch. Narendra Kumar has completed B.Tech in
Electrical and Electronics Engineering from
Jawaharlal Nehru Technological University
Hyderabad in 2002 and M.Tech in Power Electronics
and Drives from Bharath Institute of Higher
Education and Research, Chennai in 2008. Currently,
he is working as Associate Professor at Electrical and
Electronics Engineering Department, Malla Reddy
Engineering College (A), Secunderabad. He is a CLAD (Certified
LabVIEW Associate Developer) from National Instruments. His research
Interests includes Power Electronics, Power Systems and Applications of
Electrical Drives.

International Journal of Innovative Technology and Exploring Engineering (IJITEE)
ISSN: 2278-3075, Volume-8 Issue-11, September 2019
3689
Published By:
Blue Eyes Intelligence Engineering
& Sciences Publication
Retrieval Number K19950981119/2019©BEIESP
DOI:10.35940/ijitee.K1995.0981119
Dr.M.Pradeep received his B.Tech. in
Instrumentation Engineering Branch from V R
Siddhartha Engineering College, Vijayawada in
2002, M.Tech. in Communication Engineering
from Vellore Institute of Technology, Vellore in
2004 and Ph.D. in Image Processing area from
Andhra University,Visakhapatnam in 2018.He
started his teaching career as Assistant Professor in
Electronics& Communication Engineering Department, Shri Vishnu
Engineering College for Women(A), Bhimavaram in the year 2005. Later he
promoted as Associate Professor in 2010. He has about more than 25
publications in various International, National Conferences/Journals. His
areas of interests are Image Processing, Embedded systems. He is a member
of professional bodies like IETE, ISTE& MIE (India).
Dr.N.Rajeswaran is presently working as
Professor in Electrical and Electronics Engineering at
Malla Reddy Engineering College (Autonomous),
Hyderabad. He did his Bachelors in Electrical and
Electronics Engineering in Government College of
Engineering,
Bargur (Madras University) and also obtained Masters
Degree in Applied Electronics from Anna University
Chennai, Tamilnadu. He completed doctoral degree from Jawaharlal
Nehru Technological University Hyderabad, Telangana, India. He has
published more than 35 research papers in various International journals
and conferences. His area of research interest includes Electrical
Machines, Soft Computing and VLSI Design. He is a life time member of
various professional bodies like ISTE, IEI, IAENG and IACSIT.