3. CONTENTS
INTRODUCTION
MESSAGE COMMUNICATION IN AGRITECH
DESIGN OF AGRITECH
ARCHITECTURE OF AGRITECH
STATEMENT OF PROBLEM
APPROACHES AND METHODS
ADVANTAGES AND LIMITATIONS
RESULTS AND DISCUSSION
CONCLUSION
REFFERENCES
4. INTRODUCTION
The Internet of Things (IoT) is vast network of devices connected to
internet, including smart phones, tablets and almost anything with a
sensor on it.
Agriculture is consider a basic life of human, to improve the yield of
crops IoT is implemented.
There are number of factors which are going to affect the
productivity to great extend. The proposes a system which is
useful in monitoring the field data as well as controlling the field
operations which provides the flexibility.
Temperature maintenance, humidity maintenance soil moisture
maintenance etc.
5. message COMMUNICATION IN AGRITECH
First is the human to object (things) communication
Second is the object (things) to object (things)
communication
Third is the object to Internet communication
Fourth is human to internet communication
6. DESIGN OF AGRITECH
We design AgriTech using the object oriented
design approach. Different actors in our proposed
system are namely, sensor node, base station, local
gateway, satellite, cloud, farmer and expert
AgriTech will be semi automated system
consisting of automated as well as manual devices.
8. STATEMENT OF PROBLEM
Attack of insects and pests
which can be controlled by
spraying the crop with
proper insecticide, pesticides.
Solution providers looking
to build and sell new smart
agriculture IoT applications.
9. Continue…
IOT monitor sensors that
can detect soil moisture,
crop growth and livestock
feed levels, remotely manage
and control their smart
connected harvesters and
irrigation equipment.
Climatic change, soil
moisture weather forecasting
10. APPROACHES AND METHODS
Internet of Things
(IOT) or Internet of
everything's.
Things or Objects.
Local Gateway.
Internet.
Data Cloud and Mobile
Phone Application.
11. ADVANTAGES
Humidity sensors will be
attached with the sensor
node to measure the
moisture level of soil.
AgriTech helps Plantation
and harvesting, improve the
crop yields while ensuring
the quality of crops.
12. CONTINUE…
The attack by insects and pests will be detected by
the insect detector/pest detector sensor
It also reduces the effort of farmer and reduces
time to spend in paddy fields.
By implementing the AgriTech, GDP of the
country with per capita income will be increase.
13. LIMITATIONS
Farmers may not afford initial setup cost.
They have to pay the cloud service provider for using
the AgriTech.
Sensors deployed in field are vulnerable to physical
attack.
If improper deployment is done, sensors may sense the
field not belonging to that corresponding farmer.
14. APPLICATIONs
Pest and disease control system.
Irrigation system considering soil state.
Crop storage system.
Precise fertilizing system.
15. RESULTS and discussion
The global smart agriculture solution market was
estimated to be valued in excess of US$ 10 Bn by the end
of 2016.
The smart agriculture solution market in North America
was estimated to reach more than US$ 5,000 Mn by the
end of 2016.
By 2026 the North America smart agricultural a CAGR of
9.8%, Latin America is expected to record a CAGR of
12.3%
16. CONTINUE…
By 2026 the North America
smart agricultural a CAGR of
9.8%, Latin America is
expected to record a CAGR of
12.3%
The only way is if we can
apply AgriTech over
agriculture can increase the
per capita income.
17. CONCLUSION
AgriTech that consists of smart devices, LAN, WAN,
PAN and RFID, GATEWAY and InternetCloud by
which agricultural processes will be automated.
Using smart mobile technology can reduce the human
effort in agricultural sector.
AgriTech can be claimed as an eco-friendly technology
AgriTech can improve the GDP of the country.
18. REFERENCE
[1] S. R. Nandurkar, V. R. Thool, R. C. Thool, “Design and Development of
Precision Agriculture System Using Wireless Sensor Network”, IEEE International
Conference on Automation, Control, Energy and Systems (ACES), 2014
[2] Joaquin Gutiérrez, Juan Francisco Villa-Medina, Alejandra Nieto-Garibay, and
Miguel Ángel Porta-Gándara, “Automated Irrigation System Using a Wireless
Sensor Network and GPRS Module”, IEEE Transaction on instrumentation and
measurement, 0018-9456,2013
[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) Vol3 No.1. PP 7-12, 2013
[4] Y. Kim, R. Evans and W. Iversen, “Remote Sensing and Control of an Irrigation
System Using a Distributed Wireless Sensor Network”, IEEE Transactions on
Instrumentation and Measurement, pp. 1379–1387, 2008.