1. G.H. Raisoni College of Engineering &
Management, Pune
PRESENTATION
ON
SMART AGRICULTURE USING IOT
GUIDED BY GROUP NO. AB10
PROF. GEETA ATKAR BCOA73.APURVA RATHOD
BCOB66.MAHESH MOMLE
BCOB67.ROHIT CHAVAN
BCOB70.ULKA KULKARNI
2. Internet of things (IOT) is hot concept newly emerged since the 1990s. It is a hard-core of
information technology industry of the new generation. Not long after the Prime minister
of the India put forward the concept of “smart village” in 2015.
IOT is closely related to cloud computing in a way that IOT obtains powerful computing
tools through cloud computing and cloud computing finds the best practicing channel
based on IOT. India is a typical agricultural country with productivity of rice, fruit, cotton
and many other foods ranking first in the world.
Agriculture, rural area and farmers are of particular importance when it comes to socialist
modernization reform. Our ability to handle such problems properly has a great bearing on
India’s development for the future.
3. Jichun Zhao describes the development of a smart agriculture system based on a
internet of things in his article “The Study and Application of the IoT Technology in
Agriculture”. The paper is about, control networks and information networks integration
of IoT technology has been studied based on the actual situation of agricultural
production. Remote monitoring system with internet and wireless communications
combined is proposed. At the same time, taking into account the system, information
management system is designed. The collected data by the system provided for
agricultural research facilities.
Xiaohui Wang and Nannan Liu published a research article “The application of
internet of things in agricultural means of production supply chain management”. The
aim of this article is to introduce the related technologies of internet of things and tries to
build a model of Agricultural based on it. Then it analyses the function and utility of the
internet of things applying on the agricultural. Finally, the article describes the trends and
prospects that the technology of internet of things in Agricultural. How to improve the
agricultural operation efficiency and competitiveness is the key to the problem of
solving.
4. This paper analyses the application of IOT in agricultural business processes, and the
driving factor in the adoption of agricultural products supply chain effect in the Internet of
things technology are analysed, to provide a reference for the node enterprises of
agricultural products supply chain in the implementation of the Internet of things.
The newer scenario of decreasing water tables, drying up of rivers and tanks,
unpredictable environment present an urgent need of proper utilization of water. To cope up
with this use of temperature and moisture sensor at suitable locations for monitoring of
crops is implemented in:
An algorithm developed with threshold values of temperature and soil moisture can be
programmed into a microcontroller-based gateway to control water quantity. The system can
be powered by photovoltaic panels and can have a duplex communication link based on a
cellularInternet interface that allows data inspection and irrigation scheduling to be
programmed through a web page.
5. After the research in the agricultural field, researchers found that the yield of
agriculture is decreasing day by day. However, use of technology in the field of
agriculture plays important role in increasing the production as well as in reducing the
extra man power efforts. Some of the research attempts are done for betterment of
farmers which provides the systems that use technologies helpful for increasing the
agricultural yield. A remote sensing and control irrigation system using distributed
wireless sensor network aiming for variable rate irrigation, real time in field sensing,
controlling of a site specific precision linear move irrigation system to maximize the
productivity with minimal use of water was developed by Y. Kim .
The system described details about the design and instrumentation of variable rate
irrigation, wireless sensor network and real time in field sensing and control by using
appropriate software. The whole system was developed using five in field sensor stations
which collects the data and send it to the base station using global positioning system
(GPS) where necessary action was taken for controlling irrigation according to the
database available with the system. The system provides a promising low cost wireless
solution as well as remote controlling for precision irrigation.
6. In current scenario farmer doesn’t have an idea of exact requirement of
particular environmental parameter for particular crop that leads to unhealthy
growth of crop and degradation of soil so we are designing a smart agriculture
system using IoT.
7. OBJECTIVE:
To design a IOT provider platform to manage operational data and events on Farm and
demonstrate “as a service” functionalities for increasing sustainability.
To validate and refine a smart farming sensing system so that it meets the primary
objectives of supporting sustainable agriculture and individual user’s
requirement.
To develop algorithm that provides decision support to farmers on energy usage and
environment impact using sensor and production data .
8. SCOPE:
Can use different sensors like PH, NPK, and light detection .
Can be operated on batteries.
Privacy login and password can be given to farmer.
Soil testing lab can be connected to obtain solution on current situation of
farm.
App and web page can be made more user friendly.
Currently hygrometer gives output high or low that can be modified to real
time value or reading.
11. HARDWARE and SOFTWARE:
Raspberry Pi 2 is the second generation of Raspberry Pi.
It replaced the Raspberry Pi 1 Model B+.
900 MHz Quad core ARM Cortex A7 CPU.
1 GB RAM.
40 GPIO pins.
4 USB PORTS.
Full HDMI port.
Ethernet port.
Camera interface.
Display interface.
Micro SD card.
Combined 3.5mm audio jack and composite.
Video Core 3D Graphics core.
12. REQUIRED DEVICES & SENSORS:
Passive infrared sensor (PIR sensor)
Digital temperature and humidity sensor
Hygrometer (SOIL MOISTURE SENSOR)
Actuators (DC MOTOR)
Relay Module
13. Sensors should sense the physical parameters, provide the data to
gateway(RASPBERRY PI 2 MODEL B) which will publish data on cloud through MQTT
client and then subscribe on mobile app. through MQTT broker .
So accordingly farmer will be provided the readings of different parameters of
agriculture area on the MYMQTT app. on android mobile phone so that the farmer can
get the information and make changes in parameter accordingly.
Humidity of atmosphere.
Temperature of atmosphere.
Soil Moisture of soil.
According to soil moisture content, on and off the actuators which provide th
the irrigation water to the farm.
Detect motion of human being near the farm.
ADVANTAGES:
14. DISADVANTAGES:
High maintenance care required to maintain the mechanical interface used to get current
to the rotating field maintenance includes the commutator (the collection of copper and
mica segments attached to the rotor winding over which the brushes pass) and the brushes
themselves.
Not suitable in very clean environment vulnerable to dust which decreases performance.
15. Can use different sensors like PH, NPK, and light detection .
Can be operated on batteries.
Privacy login and password can be given to farmer.
Soil testing lab can be connected to obtain solution on current situation of farm.
App and web page can be made more user friendly.
Currently hygrometer gives output high or low that can be modified to real time
value or reading.
16. The data is sensed by various sensors such as
1)Hygrometer –which senses the moisture content in soil.
2)DHT11-Which senses temperature and humidity of atmosphere,
3)PIR-Which detects presence of any animal or human being.
The data is stored on the cloud and monitor by farmer using MQTT LENS
platform.
If the soil moisture is low ,farmer will get indication on the mobile phone,so he
can turn on motor to supply required water to the field.
Once the moisture content in the soil is good enough , farmer will get the
indication on the phone so he can turn off motor.
17. Li Li, Chen Ke and He Ketai“The applications of WiFi-based Wireless Sensor Network
in Internet of Things and Smart Grid”Industrial Electronics and Applications (ICIEA), 2011
6th IEEE Conference on, 21-23 June 2011.
Li HY andGuichao, “Application of the Internet of Things and trends”, Fujian PC,
Sep.2010, pp.1-2.
S.S.Mathurkar,N.R. Patel, R.B.Lanjewar, and R.S.Somkuwar, “Smart sensors based
monitoring system for agriculture using field programmable gate array”, Circuit, Power and
Computing Technologies (ICCPCT), 2014 International Conference on, 20-21 March 2014.
L.Mainetti,L. Patrono, andA. Vilei, “Evolution of wireless sensor networks towards the
Internet of Things: A survey”, Software, Telecommunications and Computer Networks
(SoftCOM), 2011 19th International Conference on, 15-17 Sept. 2011.
18. B.B.P. Rao, P. Saluia, N. Sharma, A.Mittal, andS.V. Sharma,“Cloud computing for
Internet of Things & sensing based applications” Sensing Technology (ICST), 2012
Sixth International Conference on, 18-21 Dec. 2012 .
S.S. Mathurkar,N.R. Patel, R.B.Lanjewar, andR.S.Somkuwar, “Smart sensors based
monitoring system for agriculture using field programmable gate array”, Circuit,
Power and Computing Technologies (ICCPCT), 2014 International Conference on,
20-21 March 2014.
L.Mainetti,L. Patrono, andA. Vilei, “Evolution of wireless sensor networks towards
the Internet of Things: A survey”, Software, Telecommunications and Computer
Networks (SoftCOM), 2011 19th International Conference on, 15-17 Sept. 2011