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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 198
SMART AGRICULTURE – AUTOMATIC IRRIGATION USING IOT AND GSM
Surya S1, Vignesh P2, Winston W3, Dinesh Kumar P4
1,2,3Undergraduate Student, Department of Computer Science and Engineering, Dr. M.G.R. Educational and
Research Institute
4Assistant Professor, Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research
Institute
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Agriculture plays an important role in the
development of the agricultural world. The development
of equipment based on Intelligent Smart Farming IoT is
daily transforming the face of an agricultural product by
not only improving it but also making it more economical
and reducing waste. This project promotes the concept
and features of the online sensory world of agricultural
materials used to improve crop production. We propose a
product-based agricultural system that uses IoT
technology and a Global System for Mobile
Communication (GSM) module that provides accurate
measurements to mobile users. It will save the hiring
budget and avoid wasting water on daily needs.
Key Words: Smart Agriculture, Internet of Things, IoT,
Arduino UNO, ATmega320, GSM, Soil moisture sensor,
DHT11, Rain sensor, Irrigation, Relays.
1. INTRODUCTION
Agriculture is considered to be the basis of human life as it
is the main source of food for other crops. It initiates an
important role in the economic development of the country
and also provides sufficient business opportunities for
individuals. Development in the agricultural sector is
crucial to improving the nation's financial situation.
Unfortunately, a variety of farmers are still using traditional
development methods that get lower yields and standard
yields. In any case, anywhere robot production is done and
people have been replaced by fixed machines the harvest
has improved. The use of smart strategies such as accurate
farming, proper water management, soil moisture
monitoring and moisture monitoring are sure ways to
increase yields per hectare of land. Precision Agriculture
avoids the excessive use of pesticides and fertilizers and
enables the farmer to use the land according to its quality
and environment. Precision Farming is a potential savior at
a time when India's water tables are dwindling at an
alarming rate due to a need never before seen by the
agricultural and industrial sectors. From now on there is a
need to see modern science and advances in the field of
agriculture in order to increase yields.
Most of the papers suggest the use of a remote sensor
mastermind that collects data from different types of
sensors and later sends it to a master server using a remote
display. The data collected provides information about the
various parts of the environment that explore the structure.
Evaluating common components is not enough and it is not
enough and a complete reaction to improve yield yields.
There are a number of different components that
contribute to production at an immeasurable level. These
variables include bed bug infestations and insect bites that
can be prevented by spraying the crop with official
pesticides and insecticides. Additionally, wild animals and
birds lurk as the crop grows. In the same way there is a
chance that there will be a harvest when it is time for a
public consultation.
2. PROBLEM DEFINITION
The trend for smart agriculture system is ongoing and
many researchers have brought out many ideas in smart
agriculture system. The main issue is the internet facility.
Many research papers are based on cloud service
monitoring. Many papers have not given product based
approach. Addition to these sensors with variable sensing
technologies and cost effective is also a required facility.
The trend for accuracy should always improve.
Programming should be much more refined.
3. PROPOSED SYSTEM
In this paper we have proposed a system in which the user
gets intimated about the operation of motor and the
ground values. GSM is used in our proposed solution, as it
covers a wide range of communication. As GSM is used, the
user can get the measured values on command using call
or SMS. We have proposed a low budget product based
project. The sensors are rightly placed and programmed &
calibrated accurately. We can request for the data
anywhere and at anytime.
4. REQUIREMENT SPECIFICATIONS
Table -1: Hardware Used
COMPONENTS USES / TYPES
Arduino UNO A micro-controller board
with Atmega320 controller
Sensors Soil Moisture, Raindrop,
DHT11(Humidity), Line
Relays Used to connect various
types of devices
GSM Module SIM900 / SIM900A. Used to
send measurements to user
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 199
Table -2: Software Used
SOFTWARE USES
Arduino Used to program the
arduino board
5. LITERATURE SURVEY
Fidaus Kamaruddin, Nik Noordini Nik Abd Malik, Noor
Asniza Murad, Nurul Mu’azzah Abdul Latiff, Sharifah
Kamilah Syed Yusof, Shipun Anuar Hamzah, “IoT based
intelligent irrigation management and monitoring system
using arduino”, - In this paper, the system manages to save
the usage of water and prevent the plants from being
overwater or flood. The system also successfully
implemented several methods, i.e. sensor nodes packaging
that can differentiate each of user’s plants; wireless
communication between sensor nodes, base station and
android application for controlling system in an unlimited
range; and Wi-Fi routine checker to overcome the
disconnection of an internet. [3]
Mr. CH. M.H. Saibaba, A. Kumar Sai Pavan, S. Manideep, K.
Venkatesh, “Smart Agriculture system using thinkspeak and
mobile notification” - In this paper, they presented a clear
idea about the usage of Thinkspeak and its connectivity
with IoT. ThingSpeak additionally gives different
applications to incorporation with web administrations,
different APIs and interpersonal organizations and gives
the ability to make the applications as module. [4]
A.P. Atmaja, A.E. Hakim, A.P.A. Wibowo, L.A. Pratama,
“Communication Systems of Smart Agriculture Based on
Wireless Sensor Networks in IoT”- From the research that
has been done, we took that the communication system at
Smart Agriculture based on Wireless Sensor Networks in
Internet of Things has been built and can communicate
with the Raspberry Pi to receive ultrasonic sensor data,
soil pH sensors, soil moisture sensors and transmit to
servers so that they can accessed online using the internet.
[5]
Aditya Pai, Siddham Shah, Ritik Bohara, “Smart
Agriculture”, - In this paper, IoT-Based temperature and
humidity detecting system provide an efficient and
definitive system for monitoring agricultural parameters.
The corrective action can be taken. IoT-Based monitoring
of field not only allows user to reduce the human work
and time, but it also permits user to analyze accurate
changes in the atmosphere and for taking possible action.
[6]
6. METHODOLOGY
As explained in the proposed system, we have used sensors
like soil moisture sensor, raindrop sensor, humidity sensor
(DHT11), line sensor, and water sensors. All these sensors
are connected with Arduino. GSM module is used for
transmitting the data to the users by SMS (Short Messaging
Services). As GSM is used the user can also request the data
using call. The operation of motor for the water can also be
controlled by the user through call and SMS.
Fig -1: Data Flow Diagram
7. SYSTEM OVERVIEW
Starting from the sensors connected in the farm or in the
agricultural land, these sensors are connected to Arduino
through wires and breadboard. These wires can also be
soldered. The data is sent to the farmer’s mobile phone as
SMS through GSM module every two hours.
On the other hand, the farmer can request for particular
data via SMS or call and can also operate the motor and get
the information about the operation of motor. This request
is done either via SMS or call and is reached to Arduino
with help of GSM module and sends the required data via
SMS.
Fig -2: System Architecture Diagram
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 200
For the operation of motor, the Arduino checks and
responds the motor operation with the use of relay and
replies the farmer whether the motor is turned ON or
turned OFF and it even turns the motor ON or OFF on
command.
Fig -3: Use Case Diagram
8. MODULES OF THE PROJECT
Fig -4: Module 1 – Sensing Module
Fig -5: Module 2A – GSM Module – Requesting Data
Fig -6: Module 2B – GSM Module – Sending Data
Fig -7: Module 2A – Motor Operation Module
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 201
Fig -8: Module 4 – LCD Module
9. CIRCUIT
Fig -9: Proposed circuit for smart agriculture – automatic
Irrigation using IoT and GSM
10. OUTPUTS AND DISCUSSION
a b c
Fig -10: Output sample of our proposed system
The output we received is via SMS only. As shown, in fig
10(a), the messages are received only when user requests
the data. In Fig 10(b), the OFF message turns off the motor
and the condition of motor is sent to the user. In Fig 10(c),
the last three message is received when the user calls and
hangs the call. Thus, with this output, its proven that this
system only requires low signal and does not require any
internet connection.
11. CONCLUSION
In this project, the data’s are not stored in any external
device, but the data’s are transferred directly to the user’s
mobile via SMS. The data’s can be requested via call or
SMS according to the user. The smart agriculture system is
always an ongoing trend and updates can always been
done. Further upgrades such as sensing stick or other
product based. This project serves a base for product
based approach for any smart agriculture system.
ACKNOWLEDGEMENT
This paper is a project work done by Surya S, Vignesh P,
Winston W under the guidance of Mr. P. Dinesh Kumar,
Assistant Professor, Department of Computer Science and
Engineering, Dr. M.G.R. Educational and Research
Institute, as the final year project for the fulfillment of the
degree of Bachelor of Technology in Computer Science and
Engineering. We thank our guide for his full support and
encouragement throughout the project.
REFERENCES
[1]. Abhiram MSD, Jyothsnavi Kuppili, N.Alivelu Manga,
“Smart Farming System using IoT for Efficient Crop
Growth”, 2020 IEEE International Students' Conference
on Electrical, Electronics and Computer Science
[2]. Durgesh Raghuvanshi, Apurva Roy, Dr. Vaibhav
Panwar, “IoT Based Smart Agriculture System”,
International Journal of Research in Engineering and
Science (IJRES), ISSN (Online): 2320-9364, ISSN
(Print): 2320-9356, Volume 9 Issue 6, 2021, PP. 12-16
[3]. Fidaus Kamaruddin, Nik Noordini Nik Abd Malik, Noor
Asniza Murad, Nurul Mu’azzah Abdul Latiff, Sharifah
Kamilah Syed Yusof, Shipun Anuar Hamzah, “IoT based
intelligent irrigation management and monitoring
system using arduino”, TELKOMNIKA, Vol.17, No.5,
October 2019, pp.2378 – 2388.
[4]. Mr. CH. M.H. Saibaba, A. Kumar Sai Pavan, S. Manideep,
K. Venkatesh, “Smart Agriculture system using
Thinkspeak and Mobile Notification”, International
Research Journal of Engineering and Technology
(IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12, Dec
2019.
[5]. A.P. Atmaja, A.E. Hakim, A.P.A. Wibowo, L.A. Pratama,
“Communication Systems of Smart Agriculture Based
on Wireless Sensor Networks in IoT”, Journal of
Robotics and Control (JRC) Volume 2, Issue 4, July
2021.
[6]. Aditya Pai, Siddham Shah, Ritik Bohara, “Smart
Agriculture”, EasyChair Preprint No 2699

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SMART AGRICULTURE – AUTOMATIC IRRIGATION USING IOT AND GSM

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 198 SMART AGRICULTURE – AUTOMATIC IRRIGATION USING IOT AND GSM Surya S1, Vignesh P2, Winston W3, Dinesh Kumar P4 1,2,3Undergraduate Student, Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute 4Assistant Professor, Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Agriculture plays an important role in the development of the agricultural world. The development of equipment based on Intelligent Smart Farming IoT is daily transforming the face of an agricultural product by not only improving it but also making it more economical and reducing waste. This project promotes the concept and features of the online sensory world of agricultural materials used to improve crop production. We propose a product-based agricultural system that uses IoT technology and a Global System for Mobile Communication (GSM) module that provides accurate measurements to mobile users. It will save the hiring budget and avoid wasting water on daily needs. Key Words: Smart Agriculture, Internet of Things, IoT, Arduino UNO, ATmega320, GSM, Soil moisture sensor, DHT11, Rain sensor, Irrigation, Relays. 1. INTRODUCTION Agriculture is considered to be the basis of human life as it is the main source of food for other crops. It initiates an important role in the economic development of the country and also provides sufficient business opportunities for individuals. Development in the agricultural sector is crucial to improving the nation's financial situation. Unfortunately, a variety of farmers are still using traditional development methods that get lower yields and standard yields. In any case, anywhere robot production is done and people have been replaced by fixed machines the harvest has improved. The use of smart strategies such as accurate farming, proper water management, soil moisture monitoring and moisture monitoring are sure ways to increase yields per hectare of land. Precision Agriculture avoids the excessive use of pesticides and fertilizers and enables the farmer to use the land according to its quality and environment. Precision Farming is a potential savior at a time when India's water tables are dwindling at an alarming rate due to a need never before seen by the agricultural and industrial sectors. From now on there is a need to see modern science and advances in the field of agriculture in order to increase yields. Most of the papers suggest the use of a remote sensor mastermind that collects data from different types of sensors and later sends it to a master server using a remote display. The data collected provides information about the various parts of the environment that explore the structure. Evaluating common components is not enough and it is not enough and a complete reaction to improve yield yields. There are a number of different components that contribute to production at an immeasurable level. These variables include bed bug infestations and insect bites that can be prevented by spraying the crop with official pesticides and insecticides. Additionally, wild animals and birds lurk as the crop grows. In the same way there is a chance that there will be a harvest when it is time for a public consultation. 2. PROBLEM DEFINITION The trend for smart agriculture system is ongoing and many researchers have brought out many ideas in smart agriculture system. The main issue is the internet facility. Many research papers are based on cloud service monitoring. Many papers have not given product based approach. Addition to these sensors with variable sensing technologies and cost effective is also a required facility. The trend for accuracy should always improve. Programming should be much more refined. 3. PROPOSED SYSTEM In this paper we have proposed a system in which the user gets intimated about the operation of motor and the ground values. GSM is used in our proposed solution, as it covers a wide range of communication. As GSM is used, the user can get the measured values on command using call or SMS. We have proposed a low budget product based project. The sensors are rightly placed and programmed & calibrated accurately. We can request for the data anywhere and at anytime. 4. REQUIREMENT SPECIFICATIONS Table -1: Hardware Used COMPONENTS USES / TYPES Arduino UNO A micro-controller board with Atmega320 controller Sensors Soil Moisture, Raindrop, DHT11(Humidity), Line Relays Used to connect various types of devices GSM Module SIM900 / SIM900A. Used to send measurements to user
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 199 Table -2: Software Used SOFTWARE USES Arduino Used to program the arduino board 5. LITERATURE SURVEY Fidaus Kamaruddin, Nik Noordini Nik Abd Malik, Noor Asniza Murad, Nurul Mu’azzah Abdul Latiff, Sharifah Kamilah Syed Yusof, Shipun Anuar Hamzah, “IoT based intelligent irrigation management and monitoring system using arduino”, - In this paper, the system manages to save the usage of water and prevent the plants from being overwater or flood. The system also successfully implemented several methods, i.e. sensor nodes packaging that can differentiate each of user’s plants; wireless communication between sensor nodes, base station and android application for controlling system in an unlimited range; and Wi-Fi routine checker to overcome the disconnection of an internet. [3] Mr. CH. M.H. Saibaba, A. Kumar Sai Pavan, S. Manideep, K. Venkatesh, “Smart Agriculture system using thinkspeak and mobile notification” - In this paper, they presented a clear idea about the usage of Thinkspeak and its connectivity with IoT. ThingSpeak additionally gives different applications to incorporation with web administrations, different APIs and interpersonal organizations and gives the ability to make the applications as module. [4] A.P. Atmaja, A.E. Hakim, A.P.A. Wibowo, L.A. Pratama, “Communication Systems of Smart Agriculture Based on Wireless Sensor Networks in IoT”- From the research that has been done, we took that the communication system at Smart Agriculture based on Wireless Sensor Networks in Internet of Things has been built and can communicate with the Raspberry Pi to receive ultrasonic sensor data, soil pH sensors, soil moisture sensors and transmit to servers so that they can accessed online using the internet. [5] Aditya Pai, Siddham Shah, Ritik Bohara, “Smart Agriculture”, - In this paper, IoT-Based temperature and humidity detecting system provide an efficient and definitive system for monitoring agricultural parameters. The corrective action can be taken. IoT-Based monitoring of field not only allows user to reduce the human work and time, but it also permits user to analyze accurate changes in the atmosphere and for taking possible action. [6] 6. METHODOLOGY As explained in the proposed system, we have used sensors like soil moisture sensor, raindrop sensor, humidity sensor (DHT11), line sensor, and water sensors. All these sensors are connected with Arduino. GSM module is used for transmitting the data to the users by SMS (Short Messaging Services). As GSM is used the user can also request the data using call. The operation of motor for the water can also be controlled by the user through call and SMS. Fig -1: Data Flow Diagram 7. SYSTEM OVERVIEW Starting from the sensors connected in the farm or in the agricultural land, these sensors are connected to Arduino through wires and breadboard. These wires can also be soldered. The data is sent to the farmer’s mobile phone as SMS through GSM module every two hours. On the other hand, the farmer can request for particular data via SMS or call and can also operate the motor and get the information about the operation of motor. This request is done either via SMS or call and is reached to Arduino with help of GSM module and sends the required data via SMS. Fig -2: System Architecture Diagram
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 200 For the operation of motor, the Arduino checks and responds the motor operation with the use of relay and replies the farmer whether the motor is turned ON or turned OFF and it even turns the motor ON or OFF on command. Fig -3: Use Case Diagram 8. MODULES OF THE PROJECT Fig -4: Module 1 – Sensing Module Fig -5: Module 2A – GSM Module – Requesting Data Fig -6: Module 2B – GSM Module – Sending Data Fig -7: Module 2A – Motor Operation Module
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 03 | Mar 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 201 Fig -8: Module 4 – LCD Module 9. CIRCUIT Fig -9: Proposed circuit for smart agriculture – automatic Irrigation using IoT and GSM 10. OUTPUTS AND DISCUSSION a b c Fig -10: Output sample of our proposed system The output we received is via SMS only. As shown, in fig 10(a), the messages are received only when user requests the data. In Fig 10(b), the OFF message turns off the motor and the condition of motor is sent to the user. In Fig 10(c), the last three message is received when the user calls and hangs the call. Thus, with this output, its proven that this system only requires low signal and does not require any internet connection. 11. CONCLUSION In this project, the data’s are not stored in any external device, but the data’s are transferred directly to the user’s mobile via SMS. The data’s can be requested via call or SMS according to the user. The smart agriculture system is always an ongoing trend and updates can always been done. Further upgrades such as sensing stick or other product based. This project serves a base for product based approach for any smart agriculture system. ACKNOWLEDGEMENT This paper is a project work done by Surya S, Vignesh P, Winston W under the guidance of Mr. P. Dinesh Kumar, Assistant Professor, Department of Computer Science and Engineering, Dr. M.G.R. Educational and Research Institute, as the final year project for the fulfillment of the degree of Bachelor of Technology in Computer Science and Engineering. We thank our guide for his full support and encouragement throughout the project. REFERENCES [1]. Abhiram MSD, Jyothsnavi Kuppili, N.Alivelu Manga, “Smart Farming System using IoT for Efficient Crop Growth”, 2020 IEEE International Students' Conference on Electrical, Electronics and Computer Science [2]. Durgesh Raghuvanshi, Apurva Roy, Dr. Vaibhav Panwar, “IoT Based Smart Agriculture System”, International Journal of Research in Engineering and Science (IJRES), ISSN (Online): 2320-9364, ISSN (Print): 2320-9356, Volume 9 Issue 6, 2021, PP. 12-16 [3]. Fidaus Kamaruddin, Nik Noordini Nik Abd Malik, Noor Asniza Murad, Nurul Mu’azzah Abdul Latiff, Sharifah Kamilah Syed Yusof, Shipun Anuar Hamzah, “IoT based intelligent irrigation management and monitoring system using arduino”, TELKOMNIKA, Vol.17, No.5, October 2019, pp.2378 – 2388. [4]. Mr. CH. M.H. Saibaba, A. Kumar Sai Pavan, S. Manideep, K. Venkatesh, “Smart Agriculture system using Thinkspeak and Mobile Notification”, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12, Dec 2019. [5]. A.P. Atmaja, A.E. Hakim, A.P.A. Wibowo, L.A. Pratama, “Communication Systems of Smart Agriculture Based on Wireless Sensor Networks in IoT”, Journal of Robotics and Control (JRC) Volume 2, Issue 4, July 2021. [6]. Aditya Pai, Siddham Shah, Ritik Bohara, “Smart Agriculture”, EasyChair Preprint No 2699