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IoT-SIU 2017
IoT Solutions for Smart Farm
Management
Presented By:
Dr. Sanjeev Tyagi
M.J.P. Rohilkhand University, Bareilly
Uttar Pradesh, 243001, INDIA.
Presentation Outlines
I. INTRODUCTION
II. CHALLENGES FOR INDIAN AGRICULTURE
III.
D
ISSEMINATION
OF
I
NFORMATION
III.
D
ISSEMINATION
OF
I
NFORMATION
IV. SMART FARM MANAGEMENT
V. DISCUSSION AND OPEN ISSUES
VI. SUMMARY AND CONCLUSION
VII. REFERENCES
INTRODUCTION
Internet of Things (IoT) technology is described as the Internet
Protocol (IP) based smart networks of sensors and actuators. These
sensor networks are embedded with data storage, computation and
communication capabilities to collect and disseminate the information
for the required action.
This paper describes some of the major issues related to the Indian
agriculture sector and how those issues can be addressed by using IoT
supported technological interventions.
This research article is based on various published reports, case studies
and interviews with agricultural value chain participants including
development practitioners, social activists, farmers, cooperative union
representatives, traders, and emerging technology entrepreneurs
operating in Uttar Pradesh and Uttarakhand regions in India.
INTRODUCTION
Figure 1. IoT in Agriculture and Food Industry
CHALLENGES FOR INDIAN AGRICULTURE
some of the issues associated with Indian agriculture are highlighted as follows
Technological Interventions
Irrigation Infrastructure
Systematic knowledgebase
Disposal of Crops
Market Information
Management of Sales
DISSEMINATION OF INFORMATION
Figure 2. IoT Connected IEEE 1451 Smart Sensor Network
The major objective of Agro-IoT digital data acquisition is to develop
models for crop production just like industrial production.
Low power IoT connectivity for such systems is playing an important role
in acquisition, processing, analysis and dissemination of information.
DISSEMINATION OF INFORMATION
IOT PLATFORMS
Table 1: Contiki Supported IoT Hardware Platforms
Table 1:
Contiki
Supported
IoT
Hardware Platforms
The IoT market is continually changing and interoperability with
other networks is observed as a biggest driver for it.
Lightweight real-time operating system, like the open source Free-
RTOS, Tizen, ARM Mbed, Contiki and TinyOS .
Platform Microcontroller Radio
RE-Mote TI CC2538 Integrated/CC1200
CC2538 dk TI CC2538 Integrated
Wismote TI MSP430x TI CC2520
Micaz Atmel AVR TI CC2420
Redbee-dev Freescale MC1322x Integrated
Sky TI MSP430x TI CC2420
Table 1:
Contiki
Supported
IoT
Hardware Platforms
DISSEMINATION OF INFORMATION
COMMUNICATION FRAMEWORK
Table 1: Contiki Supported IoT Hardware Platforms
Application
Layer
It includes HTTP protocol to communicate
through the Web server with other nodes and
clients in the network
Transport Layer This layer is responsible for transporting
application layer messages, between the
client and server sides of an application using
TCP or UDP messages
Table-2: 6LoWPAN Protocol Stack
Network Layer It is responsible for routing datagram from
one host to another, including fragmentation
to support the IPv6. ICMPv6 performs error
reporting as well as some other diagnostic
functions in the network
Adaptation
Layer
6loWPAN adaptation layer includes header
compression and fragmentation to reduce
transmission overhead, over multiple hops
MAC Layer The Medium Access Control layer manages
access to the physical channel and network
beaconing
Physical Layer It manages the physical communication link
through RF transceiver and performs channel
selection and energy management functions Figure 3. 6LoWPAN Protocol Stack
SMART FARM MANAGEMENT
For climate smart agriculture, irrigation, fertilization and soil
health are the most significant issues.
Irrigation consumes almost 70 percent of the total fresh water
and hence it is a serious concern as well as a big challenge for
the farmers in the draught affected areas.
Thingworx
:
Smart
Agriculture
IoT
Solutions
Thingworx
:
Smart
Agriculture
IoT
Solutions
Libelium: Smart Agriculture Solutions
Figure 4. WaspmoteAgriculture Sensor Board of Libelium
DISCUSSION AND OPEN ISSUES
It is required for sustainable rural and agriculture development
Inclusive and sustainable development of rural communities.
Creation of descent job opportunities in agriculture and food
industry for Science, Technology, Engineering and Management
industry for Science, Technology, Engineering and Management
(STEM) graduates.
Development of Agro-ICT products with low cost and reduced
complexity.
Promotion of ICT enabled farm management practices
Production of quality food materials with the lowest possible
environmental cost.
Reduced food wastage and effective redistribution.
Energy autonomy, recycling, waste management and organic
farming.
SUMMARY AND CONCLUSION
Though rural farmers do not yet participate at scale, urban and
younger users are adopting technological platforms quickly and
eventually internet enabled services will begin to have a larger
impact in the rural areas as well.
At the same time it will encourage Science, Technology,
Engineering
and
Management
(STEM)
graduates
to
have
better
Engineering
and
Management
(STEM)
graduates
to
have
better
career options in their own localities.
This paper presented an overview of different challenges
associated with the Indian agriculture sector. It also presents a
summary about IoT solutions, currently in use.
Potential roadblocks in the deployment of sensor based
information systems in the farm field include social acceptance,
reliability of acquired data and technology deployment
REFERENCES
1. J. Wei, et.al. “Use of “Smart Transducers” Concept and IEEE 1451 Standards in
System Integration for Precision Agriculture” Computers and Electronics in
Agriculture, vol. 48, pp. 245-255, September-2005.
2. Food and Agriculture Organization , “Sustainable Agriculture and Rural Development
(SARD) and Agro-ecology“, Food and Agriculture Organization of the United
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Ma,
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Zhou,
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Agriculture
to
the
Internet
of
Things
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Ma,
X
.
Zhou,
S
.
Li,
Z
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Li,
“Connecting
Agriculture
to
the
Internet
of
Things
through Sensor Networks” in the Proc. of IEEE International Conferences on Internet
of Things, and Cyber, Physical and Social Computing, Dalian, pp. 184-187, Oct-2011.
4. K. Taylor et. al., “Farming the Web of Things.” IEEE Magazine on Intelligent
Systems, Nov-2013, pp. 12-19.
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6. W. Merrill, “Where is the Return on Investment in Wireless Sensor Network?”IEEE
Wireless Communications Magazine, pp.4-6, February-2010.
7. N. Wang, N. Zhang and M. Wang, “Wireless Sensors in Agriculture and Food
Industry: Recent Development and Future Perspective” Computers and Electronics in
Agriculture Journal, Vol. 50, pp. 114-120, January-2006.
REFERENCES
8. M. A.
Fernandes
et. al., “A Framework for Wireless Sensor Networks Management
for Precision Viticulture and Precision Agriculture based on IEEE 1451 Standard.”
Computers and Electronics in Agriculture Volume 95, July 2013, pp. 19–30.
9. M. Salecha, “Smart Farming: IoT in agriculture,” IoT India Magazine, Aug-2016,
available at http://iotindiamag.com/2016/08/smart-farming-iot-agriculture.
10. H. Knoche, PR Sheshagiri, and J. Huang. “Human Centered Design for
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Human
Computer
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No. 3, Jul-2011, pp. 1-13.
11. Alliance for Internet of Things Innovation “Smart Farming and Food Safety: Internet
of Things Applications–Challenges for Large Scale Implementations” Alliance for
Internet of Things Innovation (AIOTI), European Commission, 2015.
12. C. MacGillivra, “The Platform of Platforms in the Internet of Things,” International
Data Corporation White Paper, Framingham, MA, USA, February-2016.
13. A. Dunkels, B. Grönvall and T. Voigt, Contiki — A lightweight and flexible operating
system for tiny networked sensors, in the proceedings of LCN, 2004, pp. 455–462.
14. Contiki Homepage, “Contiki: The Open Source OS for the Internet of Things,”
Available at www.contiki-os.org, (Accessed: 14 February 2017).
REFERENCES
15. D. S. Gangwar and S. Tyagi, “Internet of Things Connected Smart Farm Solutions for
Sustainable Agro-ecological and Rural Development,” International Journal of
Engineering and Future Technology (IJEFT), vol. 14, no. 2, Jan-2017, pp. 64-71.
16. J. Panchard, et al. “COMMONSense Net: A Wireless Sensor Network for Resource-
Poor Agriculture in the Semi Arid Areas of the Developing Countries”, Information
Technology and International Development, Vol. 4, No. 1, pp. 5-67, Fall 2007.
17.
Thingworx
Homepage,
2017
,
Enterprise
IoT
solutions
and
platform
technology
.
17.
Thingworx
Homepage,
2017
,
Enterprise
IoT
solutions
and
platform
technology
.
Available at: http://www.thingworx.com/ (Accessed: 25 January 2017).
18. Libelium Homepage, 2017, “Connecting sensors to the cloud.” Available at:
http://www.libelium.com/ (Accessed: 25 January 2017).
19. Trimble Homepage, “Transforming the way the world works.” Available at:
http://www.trimble.com/ (Accessed: 25 January 2017).
20. D. S. Gangwar and S. Tyagi, “Challenges and Opportunities for Sensor and Actuator
Networks in Indian Agriculture” in the Proceedings of 8th International Conference
on Computational Intelligence and Communication Networks (CICN-2016), 23-25-
December-2016, Tehri, Uttarakhand, INDIA, pp. 38-42.
REFERENCES
21. M. S. Swaminathan, “National Policy for Farmers” Department of Agriculture &
Cooperation, Ministry of Agriculture, Government of India, 2007.
22.
Food and Agriculture Organization “ICT for Sustainable Agriculture: Technologies
for Agricultural Information Sharing”
Food and Agriculture Organization of the United
Nations,
Bangkok, Thailand, 2013,
23.
HESCO
(
Himalayan
Environmental
Studies
and
Conservation
Organization
Home
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(
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Environmental
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and
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Organization
Home
Page,
http://www.hesco.in,
(Accessed: 25 January 2017).
Thank you very much….
IoT-SIU 2017
Dr. Sanjeev Tyagi
M.J.P. Rohilkhand University, Bareilly
Uttar Pradesh, 243001, INDIA.