1. SRI RAMAKRISHNA ENGINEERING COLLEGE
No. of Credits : 2
16EC258-MINIPROJECT Il
Department of Electronics and Communication
Engineering
[Educational Service : SNR Sons Charitable Trust]
[Autonomous Institution, Accredited by NAAC with ‘A++’ Grade]
[Approved by AICTE and Permanently Affiliated to Anna University, Chennai]
[ISO 9001-2015 Certified and all eligible programmes Accredited by NBA]
VATTAMALAIPALAYAM, N.G.G.O. COLONY POST, COIMBATORE – 641 022.
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2. SRI RAMAKRISHNA ENGINEERING COLLEGE
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Class / Section /
Semester
: IIl ECE / B / V
Batch : 2019 - 2023
Project Review : First Review
Title of the project : IOT based monitoring system in
smart agriculture
Date : 11/01/2022
Project Guide : Mrs.S.Sharmila devi, AP(Sr.G)/ECE
Team Members : 1. Karthika.V(1902104)
2. Pavithra.S(1902137)
3. Priyadharshini R.M(1902149)
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3. CHALLENGE STATEMENT
PROBLEM STATEMENT : IOT based monitoring system in smart
agriculture
CATEGORY : Software & Hardware
TECNOLOGY : IOT (Internet Of Things)
DESCRIPTION : Farming holds an important place in growth
of the nation as it holds a great share in our Indian economy.But if we
compare our level of irrigation from other countries, we are far away
from them till today.Our agriculture system still relies on the traditional
approach as others are using new approach day by day.
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4. CONCEPT AND SCOPE OF SOLUTION
CONCEPT :
This project aims to convert the irrigation to smart
irrigation by using high technology and the Internet of things.
The major characteristics the system is sensing of moisture and
most important scaring of birds and animals, keeping
cautiousness and many more.
SCOPE:
•This will be useful for the people interested in
agriculture.
•The work is done in the field to evaluate terrain , soil ,
and climatic characteristics to optimise the use of water
for agricultural crops.
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5. LITERATURE SURVEY /
BACKGROUND STUDY
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PAPER APPROACH REMARKS
K.J.Somaiya Institute of
Engineering & Information
Technology University of
Mumbai,India
Intelligent Smart Farming
The development of
various different Intelligent
Smart Farming IoT based
device is day by day
changing the face of
agriculture
The techniques did not
influence the classifier and the
sensitivity .
K.Lakshmisudha
Smart Precision Based
Agriculture using Sensor
It focuses on developing
devices and tools to
manage
But the posing of placing
sensors in the field is very
crucial.
Sushanth & G.Sujatha
IoT Based Smart Agriculture
The paper aims at making
use of evolving technology
using automation and
monitoring
This is one of the best
solutions but there is some
limitation through cloud
technology it can be rectify.
6. LITERATURE SURVEY
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Dr.V.Vidya Devi & G.Meena
Kumari,Real time
Automation and Monitoring
System or Modernized
It proposes an idea about
how an automated irrigation
system was developed to
optimize water use for
agricultural crops .
By this the reading only are
taken and no automation is
developed by any machine.
Ms.Roopashree v.et.al
IOT in India Agriculture using
wireless sensor
The project is mainly related
to with off-grid application.
By using some controllers, it
can work more efficient.
7. EXISTING METHOD
•In the existing method soil moisture sensor, temperature sensor is
used to find the conditions in agriculture land.An automated irrigation
system was developed to optimize water use for agricultural crops.
•Drones are also considered to be unrivaled aides in the battle against
insects.
•Despite the fact that drones are easy to use and are capable of
collecting large amounts of data within short time frames,there are still
challenges when using them on a constant basis as they don’t come
cheap.
•The system has a distributed wireless network focuses on exact
duration in field sensing, variable irrigation.
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8. PROPOSED / INNOVATIVE METHOD
•After protecting crops this project also adds a security measure for
a warehouse-like- temperature maintenance, theft detection in the
warehouse, humidity maintenance in the storeroom.
•All these tasks are controlled by any computer connected to the net
and performed by the interfacing sensors with micro-controller and
Arduino.
•In this manner,we are increasing the system which able to control the
agriculture monitoring in fields where human being not capable to
provide security.
•Such system we are developing in the field where the crops are closely
monitored and all the climatic conditions are well maintained.
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9. • Also creating a database in the following
areas production ,fertilizer and pesticides
and crop selection.
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11. PROS AND CONS OF THE SOLUTION
PROS
•Reduced water consumption
•It is safe
•No man power required
•Accurate form and field evaluation
•Increase in productivity
CONS
•Difficult to get even distribution of water on light permeable soil which
have high infilteration rates
•Field layout for surface irrigation may restrict mechanisation unless
special measures are adopted
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12. HARDWARE USED
ARDUINO
•Arduino is an open-source electronics platform based on easy -
to-use hardware and software.Arduino board designs use a
variety of microprocessors and controllers.
• The boards are equipped with sets of digital and analog
input/output pins that may be interfaced to various expansion
boards or breadboards and other circuits.
• This microcontrollers can be programmed using the C
programming language.
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13. TECHNOLOGY USEDTTt
IOT (internet of things):
• Internet of things(IOT) is a shared network of objects or things which
can interact with each other provided the internet connection.
• IOT plays a important role in agriculture industry which can feed 9.6
billion people on the earth by 2050 .
20. REFERENCES
1. Benza Negash Getu and Hussain A.Attia, “Automatic Control of
Agricultural Pumps Based on Soil Moisture Sensing”, Proceeding
of the IEEE AFRICON 2015 Conference, pg: 667-671, 14-17
September 2015.
2. Amarendara Goap, Deepak Sharma A.K. Shukla C. Rama
Krishna “An IoT Based Smart Irrigation management system
using machine learning and open source technologies”, Volume
155, December 2018,pg: 41-49.
3. Abhinav Rajpal, Sumit Jain, Nistha Khare and Anil Kumar
Shukula,” Microcontroller Automatic Irrigation system with
moisture sensor” proc. of the International conference on science
and Engineering. May 2017, pg: 94-99
4. Sushanth and G.Sujatha., “Smart water management platform:
iot-based smart agriculture,” Sensor, volume 19, no. 2, pg: 276,
2019.
5.