Agriculture sector being the backbone of the Indian economy deserves security. Security not in terms of resources only but also agricultural products needs security and protection at very initial stage, like protection from attacks of rodents or insects, in fields or grain stores. Such challenges should also be taken into consideration. Security systems which are being used now a days are not smart enough to provide real time notification after sensing the problem. The integration of traditional methodology with latest technology as Internet of Things can lead to agricultural modernization. Keeping this scenario in mind an ‘Internet of Things’ based device have been designed, tested and analyzed which is capable of analyzing the sensed information and then transmitting it to the user. This device can be controlled and monitored from remote location and it can be implemented in agricultural fields, grain stores and cold stores for security purpose. This paper is oriented to accentuate the methods to solve such problems like identification of rodents, threats to crops and delivering real time notification based on information analysis and processing without human intervention. In this device, mentioned sensors and electronic devices are integrated using Python scripts. Based on attempted test cases, we were able to achieve success in 84.8% test cases.

1. DEVELOPMENT OF IOT BASED
SMART SECURITY AND
MONITORING DEVICES FOR
AGRICULTURE
SNEHA DAISE PAULSON
EC-2, S7
ROLL NO-40

2. TOPICS DISCUSSED HERE:
Brief understanding of IOT
Implementing these in agricultural sector
 The design, test and analysis of the device

3. term was proposed by Kevin Ashton in 1999
Connection of each and every thing to the internet
Relationship will be people-people, people-things & things-things
WHAT IS INTERNET OF THINGS ?
Kevin AshtonRFID

4. IOT
Make things
“smart”
(UID)
Far away
communication
with smart
devices Automate
things
(ultimate
goal)

5. Nest Learning Thermostat
HAIKU CEILING FAN
JUNE INTELLIGENT OVEN

6. 20-30% loss of agricultural products.
5-10% loss in rice crops, in Asia due to rodents.
Death rate due to rodent borne diseases is higher in
comparison with illness like HIV-AIDS.
WHY IOT IS IMPLEMENTED
IN AN AGRICULTURAL SECTOR?

7. USE SMART SECURITY
SYSTEMS USING IOT.

8. Remember, IOT can be implemented in various other agricultural
fields like:
• water quality monitoring
• monitor soil constituent, soil humidity
• water irrigation
• pest monitoring

9. Raspberry
Pi 2
Model B+
PIR
sensor
Ultrasonic
Ranging
Device
Web
camera
Ultrasonic
Sound
Repeller
COMPONENTS USED :

10. PIR sensor
URD
Ultrasonic repeller

12. PTC’s
ThingWorx’s
IOT platform
Python
Linux based
Raspbian
OS
Platform and language used:

13. Block diagram

15. Circuit Explanation
Sensors are connected to GPIO header.
PIR sensors have three pins: Vcc, OUT, GND
URD (HC-SR04) has 4 pins: TRIG, ECHO, Vcc, GND
The repeller will be activated by server based upon data analysis.

16. Raspberry pi B+ GPIO header consists of 40 pins.
HC-SR04-ECHO port is rated as 5V. The GPIO input pin is rated as
3.3V. So we use a voltage divider circuit (1KΩ and 2KΩ.)
In addition, web camera is connected to universal serial bus port of
raspberry pi.

19. Screenshot of the prototype

20. Circuit installation
Set up in a small area of size 10sq.m.
Installed in the corner with sensors facing same side and cameras
fixed at some height.
Then the test can be started.

21. Python
scripts will
identify
the motion
of rodents.
URD sensor
will be
activated and
simultaneously
webcam is
activated to
capture a snap
of area.
The
analyzed
data and
information
is stored in
SQL based
database.
Repeller
will be
activated at
a frequency
(30kHz to
65kHz)
which is
aversive to
rodents.

22. Screenshot of ThingWorx’s Platform Test

24. A success rate
of 84.8% i.e.
118 test cases
out of 139 test
cases.
Unsuccessful
test cases i.e.
15.2% were due
to devices
connectivity,
data
transmission,
notification, and
other factors.
Result analysis

25. location of device in area can also be
changed based upon the location of
grains.
Future scope and conclusion
A grid of sensor panels consisting
PIR sensors and URD sensors can be
added.
Can incorporate pattern recognition
techniques.

26. References
• www.cisco.com/c/en_in/solutions/internet-of things/overview.html
• https://en.wikipedia.org/wiki/Internet_of_things
• http://www.postscapes.com/internet-of-things-definition/
• https://www.internetsociety.org/sites/default/files/ISOC-IoT-Overview-
20151014_0.pdf
• https://www.itu.int/en/action/broadband/Documents/Harnessing-IoT-
Global-Development.pdf
• http://mpi-group.com/wp-content/uploads/2016/01/IoT-
Summary2016.pdf
• http://www.ijarcce.com/upload/2016/march-16/IJARCCE%20226.pdf
• http://dupress.deloitte.com/content/dam/dup-us-en/articles/iot-primer-
iot-technologies-
applications/DUP_1102_InsideTheInternetOfThings.pdf
• https://en.wikipedia.org/wiki/Python_(programming_language)

27. • http://www.tutorialspoint.com/python/python_tutorial.pdf
• http://www.ptc.com/internet-of-things/solutions#sthash.jBBZc
• http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=7387818