Automatic Irrigation System using Google Assistant

DEEPASHREE1 , ANANYA B S2, INCHARA N I3, BHOOMIKA H N4

(INFORMATION SCIENCE & ENGINEERING, AMC ENGINEERING COLLEGE, BENGALURU, INDIA)

ABSTRACT: Today, the farmers are suffering from the nonattendance of storms and lack of
water. The essential focus of this paper is to give a customized water framework structure thus
sparing time, money and vitality of the agriculturist. The regular estate land water system
techniques require manual mediation. With the robotized development of water framework the
human intervention can be limited. At whatever point there is an alteration in temperature and
dampness of the surroundings these sensors recognizes the adjustment in temperature and stickiness
and gives a interfere with banner to the micro- controller.

Motorization of residence activities can change country space from being manual and static to sharp
and dynamic inciting higher age with lesser human supervision. This paper proposes a mechanized
water framework system which screens and keeps up the desired soil moisture content by methods
for customized watering. Microcontroller NODEMCU (ESP8266-12E) is used to complete the
control unit. The setup uses soil moisture sensors which measure the right sogginess level in soil.
This regard enables the structure to use fitting measure of water which keeps up a key separation
from over/submerged framework. IOT is used to keep the farmers revived about the status of yield
fields. Information from the sensors is routinely invigorated on a site page using BLYNK
application through which a farmer can check paying little heed to whether the water siphon are
ON/OFF at some random time.
KEYWORDS: IOT, Google Assistant, IFTTT

I. INTRODUCTION:
India's genuine wellspring of compensation is from agribusiness division and many farmers and general
people depend upon the agriculture. In India most by far of the water system structures are worked
physically. These out-dated techniques are replaced with semi-robotized and electronic methods[1]. The
open ordinary techniques look like cast off water system, terraced water system, spill water system,
sprinkler structure. The overall water system circumstance is orchestrated by extended enthusiasm for
higher green productivity, poor execution and lessened availability of water for horticulture.

These issues can be appropriately revised in case we use modernized structure for water system. In
Irrigation Control System Using Android and Google Assistant for Efficient Use of Water and
Power.[2] Motorized water system structure uses Google Assistant to turn motor ON and OFF.

II. OBJECTIVE OF THE PROJECT

As the world is floating into present day advances and utilization it is an essential target to slant up
in agriculture also. Most exercises mean the usage of remote sensor sort out assemble data from
different sensors sent at various centres and send it through the remote tradition. The accumulated
data gives the information about the distinctive environmental components. Checking the common
segments isn't the whole response for addition the yield of items. There are number of various
factors that decay the benefit to a progressively significant degree.

Thus, computerization must be completed in flooding fields to vanish these issues. Thusly, to give
answer for each and every such issue, it is essential to develop an organized system which will
manage watering the harvests. Regardless, whole motorization in water system isn't cultivated in
view of various issues.
III. LITERATURE SURVEY
The existing method and one of the oldest ways in agriculture is the manual method of checking the
parameters. In this method the farmers they themselves verify all the parameters and calculate the
readings. [1]It focuses on developing devices and tools to manage, display and alert the users using the
advantages of a wireless sensor network system. [2]It aims at making agriculture smart using
automation and IOT technologies.
[3]The cloud computing devices that can create a whole computing system from sensors to tools that
observe data from agricultural field images and from human actors on the ground and accurately feed
the data into the repositories along with the location as GPS coordinates.[4]This idea proposes a novel
methodology for smart farming by linking a smart sensing system and smart irrigator system through
wireless communication technology.[5]It proposes a low cost and efficient wireless sensor network
technique to acquire the soil moisture and temperature from various location of farm and as per the need
of crop controller to take the decision whether the irrigation is enabled or not.
[6]It proposes an idea about how automated irrigation system was developed to optimize water use for
agricultural crops. In addition, a gateway unit handles sensor information.[7]The atmospheric conditions
are monitored and controlled online by using Ethernet IEEE 802.3.The partial root zone drying process
can be implemented to a maximum extent.
[8]It is designed for IoT based monitoring system to analyze crop environment and the method to
improve the efficiency of decision making by analyzing harvest statistics.[9]In this paper image
processing is used as a tool to monitor the diseases on fruits during farming, right from plantation to
harvesting. The variations are seen in color, texture and morphology.
[10]In Google Assistant Based Automated Irrigation Control using IOT based Irrigation System.
These system covered lower range of agriculture land and not economically affordable. The System
Supports excess Amount of water in the land and uses wifi to send message and an android app is been
used they have used a methodology to overcome under irrigation, over irrigation that causes leaching
and loss of nutrient content of soil they have also promised that Microcontroller used can increase
System Life and lower the power Consumption. There system is just limited to the automation of
irrigation system and lacks in extra ordinary features.
In Irrigation Control System Using Android and GSM for Efficient Use of Water and Power.
Automated irrigation system uses Google Assistant to turn motor ON and OFF. These Google
Assistant may be easily automated by using voice controllers. Automating farm or nursery irrigation
allows farmers to apply the right amount of water at the right time, regardless of the availability of
labour to turn valves on and off. In addition, farmers using automation equipment are able to reduce
runoff from over watering saturated soils, avoid irrigating at the wrong time of day, which will
improve crop performance by ensuring adequate water and nutrients when needed. Those valves may
be easily automated by using controllers.

IFTTT
If This Then That, also known as IFTTT , is a free web-based service to create chains of simple
conditional statements, called applets.

An applet is triggered by changes that occur within other web services such as Gmail, Facebook,
Telegram, Instagram, or Pinterest.
For example, an applet may send an e-mail message if the user tweets using a hashtag, or copy a
photo on Facebook to a user's archive if someone tags a user in a photo.

In addition to the web-based application, the service runs on IOS and Android. In February 2015,
IFTTT renamed their original application to IF, and released a new suite of apps called Do which lets
users create shortcut applications and actions. As of 2015, IFTTT users created about 20 million
recipes each day.

IFTTT is both a website and a mobile app that launched in 2010 and has the slogan "Put the Internet to
work for you". The idea is that you use IFTTT to automate everything from your favorite apps and
websites to app-enabled accessories and smart devices.
Blynk
Blynk is not an app that works only with a particular shield. Instead, it's been designed to support the
boards and shields you are already using. And it works on iOs and Android. UPD: Blynk also works
over USB. Blynk Server is an Open-Source Netty based Java server, responsible for forwarding
messages between blynk mobile application and various microcontroller boards and SBCs (i.e. Arduino,
RaspberryPi).

IV.EXISTING SYSTEM
The flow method and a standout amongst the most prepared courses in horticulture is the manual
procedure for checking the parameters. In this methodology the farmers they themselves affirm all of
the parameters and figure the readings. It focuses on making contraptions and instruments to regulate,
show and alert the customers using the advantages of a remote sensor mastermind framework. It goes
for affecting agribusiness to sharp using computerization and IOT advancements. The disseminated
figuring devices that can make a whole handling system from sensors to gadgets that watch data from
agrarian field pictures and from human on-screen characters on the ground and correctly support the
data into the files close by the territory as GPS organizes. This idea proposes a novel methodology for
clever developing by associating a splendid recognizing system and wise irrigator structure through
remote correspondence innovation. It proposes an insignificant exertion and profitable remote sensor
sort out system to get the earth sogginess and temperature from various territory of estate and as per the
need of gather controller to take the decision whether the water system is enabled or not. It proposes an
idea in regards to how robotized water system structure was made to propel water use for cultivating
yields. In addition, an entryway unit handles sensor data. The climatic conditions are watched and
controlled online by using Ethernet IEEE 802.3.The inadequate root zone drying strategy can be
realized to a most outrageous degree. It is expected for IOT based checking structure to separate yield
condition and the system to upgrade the viability of fundamental administration by inspecting harvest
insights. In this paper picture getting ready is used as an instrument to screen the diseases on natural
items in the midst of developing, proper from farm to social event. The assortments are found in
shading, surface and morphology. In this paper, nursery is a working in which plants are created in shut
condition. It is used to keep up the perfect conditions of the earth, nursery organization and data getting.

V. PROPOSED SYSTEM
The Block diagram of Proposed System is shown below:
 Fig a : Block Diagaram of Proposed System

A.NODEMCU(ESP-8266-12E) :

The Node MCU is an open-source firmware and development kit that helps you to Prototype your IOT
product within a few Lua script lines. It includes firmware which runs on the ESP8266 Wi-Fi SOC
from Express, and hardware which is based on the ESP-12 module

Fig.b :NODEMCU(ESP-8266-12E)

B.ESP8266-12E WiFi module

ESP8266-12E WiFi module is developed by Ai-thinker Team [3]. core processor ESP8266 in smaller
sizes of the module encapsulates Ten silica L106 integrates industry-leading ultra low power 32-bit
MCU micro, with the 16-bit short mode, Clock speed support 80 MHz, 160 MHz, supports the RTOS,
integrated Wi-Fi MAC/BB/RF/PA/LNA, on-board antenna. The module supports standard IEEE802.11
b/g/n agreement, complete TCP/IP protocol stack. Users can use the add modules to an existing device
networking, or building a separate network controller. ESP8266 is high integration wireless SOCs,
designed for space and power constrained mobile platform designers. It provides unsurpassed ability to
embed Wi-Fi capabilities within other systems, or to function as a standalone application, with the
lowest cost, and minimal space requirement.

Fig.c : ESP8266-12E Wi-Fi Module

C. Soil Moisture Sensor

This sensor can be used to test the moisture of soil, when the soil is having water shortage, the module
output is at high level, else the output is at low level. By using this sensor one can automatically water
the flower plant, or any other plants requiring automatic watering technique. Module triple output
mode, digital output is simple, analog output more accurate, serial output with exact readings.

Soil Moisture Sensor is a simple breakout for measuring the moisture in soil and similar materials. The
soil moisture sensor is pretty straight forward to use.

Fig.d : Soil Moisture Sensor

D. Temperature and Humidity Module DHT11

DHT11 digital temperature and humidity sensor is a calibrated digital signal output of the temperature
and humidity combined sensor. It uses a dedicated digital modules capture technology and the
temperature and humidity sensor technology to ensure that products with high reliability and excellent
long-term stability. Sensor includes a resistive element and a sense of wet NTC temperature
measurement devices and with a high-performance 8-bit microcontroller connected.

DHT11 output calibrated digital signal. It utilizes exclusive digital-signal-collecting-technique and

humidity sensing technology, assuring its reliability and stability. Its sensing elements are connected
with 8-bit single-chip computer. Every sensor of this model is temperature compensated and calibrated
in accurate calibration chamber and the calibration-coefficient is saved in OTP memory. Small size &
low consumption & long transmission distance (20m) enable DHT11 to be suited in all kinds of harsh
application occasions. Single-row packaged with four pins, making the connection very convenient.
 Fig .e : DHT-11 Module

E. Relay

A relay is an electrically operated switch. Many relays use an electromagnet to mechanically operate a
switch, but other operating principles are also used, such as solid-state relays. Relays are used where it
is necessary to control a circuit by a separate low-power signal, or where several circuits must be
controlled by one signal. The first relays were used in long distance telegraph circuits as amplifiers:
they repeated the signal coming in from one circuit and re-transmitted it on another circuit. Relays were
used extensively in telephone exchanges and early computers to perform logical operations.

Fig.f : Relay

F . Water pump

This is lightweight, small size, high efficiency, low consumption and low noise water pump. It has been
used widely; in household include cooking, cleaning, bathing, space heating and water flowers, etc.
Note: Please do not test long time with no-load, inside is with plastic leaves, can't suction impurity.
 Fig.g : Water Pump

G. Power Supply

Almost all basic household electronic circuits need an unregulated AC to be converted to constant DC,
in order to operate the electronic device. All devices will have a certain power supply limit and the
electronic circuits inside these devices must be able to supply a constant DC voltage within this limit.
That is, all the active and passive electronic devices will have a certain DC operating point (Q-point or
Quiescent point), and this point must be achieved by the source of DC power. The DC power supply is
practically converted to each and every stage in an electronic system. Thus a common requirement for
all this phases will be the DC power supply. All low power system can be run with a battery. But, for
long time operating devices, batteries could prove to be costly and complicated. The best method used
is in the form of an unregulated power supply – a combination of a transformer, rectifier and a filter.

VI. ALGORITHM
Step 1: START
Step 2: Give Power supply to Circuit
Step 3: Connect the sensor pins to NODEMCU
Step 4: Provide proper WiFi Connection to the NODEMCU board
Step 5: Checking Soil moisture sensor values and
Step 6: Publish the soil moisture
Step 7: Checking DHT-11 values
Step 8: Publish the DHT-11 values to adafruit .
Step 9: if Moisture sensor(Moisture content reduced)
Step 10: Send the Mail.
Step 11: Turn ON the Motor
Step 12: Otherwise
Step 13: STOP the process.

VII. EXPERIMENTAL RESULTS

 Fig .h: Android application Fig.i: Temperature Setup

Fig.j: Project Setup Fig.k : DHT-11 Setup

VIII. CONCLUSION
A structure to screen moisture levels in the soil was arranged and the errand allowed to think about the
present systems, nearby their features and burdens. The proposed structure can be used to switch on/off
the water sprinkler as demonstrated by soil moisture levels thusly automating the methodology of water
system which is a champion among the dreariest activities in developing. Agriculture is a champion
among the most water-eating up activities. The structure uses information from soil moisture sensors to
flood soil which hinders over water system or under water system of soil thusly keeping up a vital
separation from trim damage. The farm owner can screen the system online through a webpage. Through
this endeavour it tends to be assumed that there can be amazing improvement in developing with the
usage of IOT and automation. In this manner, the system is a potential response for the issues looked in
the ebb and flow manual and cumbersome technique of water system by engaging capable utilization of
water resources.

VIII. FUTURE SCOPE

In Future, an Intelligent IOT based Automated Irrigation framework can be broadened for inundating the
field with water as well as for settling on showering suitable synthetic concoctions for appropriate
development of harvest. A similar work can be stretched out by investigating water level in tank before
inundating the field. Finally the information security and trustworthiness of agricultural data can be
verified while transmitting for examination towards forecast and sending the control motion for actuation.

REFERENCES

1. K. Lakshmisudha, Swathi Hegde, Neha Kale, Shruti Iyer, “ Smart Precision Based Agriculture
Using Sensors” ,International Journal of Computer Applications (0975-8887), Volume 146-No.11, July
2011

2. Nikesh Gondchawar, Dr. R.S. Kawitkar, “ IoT Based Smart Agriculture” , International Journal
of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol.5, Issue 6, June
2016.

3. M.K. Gayatri, J. Jayasakthi, Dr.G.S. Anandhamala,“ Providing Smart Agriculture Solutions to

Farmers for Better Yielding Using IoT” , IEEE International Conference on Technological Innovations
in ICT for Agriculture and Rural Development (TIAR 2015).

4. Chetan Dwarkani M, Ganesh Ram R, Jagannathan S, R.Priyatharshini, “ Smart Farming System

Using Sensors for Agricultural Task Automation” , IEEE International Conference on Technological
Innovations in ICT for Agriculture and Rural Development (TIAR 2015).

5. 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.

6. Joaquín Gutiérrez, Juan Francisco Villa-Medina, Alejandra Nieto-Garibay, and Miguel Ángel
Porta- Gándara, “ Automated Irrigation System Using a Wireless Sensor Network and GPRS Module” ,
IEEETransactions on Instrumentation and Measurements, 0018-9456,2013

7. 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.

8. Meonghun Lee, Jeonghwan Hwang, Hyun Yoe,“ Agricultural Protection System Based on IoT” ,
IEEE16th International Conference on Computational Science and Engineering, 2013.

9. Monika Jhuria, Ashwani Kumar, Rushikesh Borse,“ Image Processing for Smart Farming: Detection
of Disease and Fruit Grading” , IEEE Second International Conference on Image Information
Processing (ICIIP), 2013.
.
10. IOT based Smart Irrigation System, SrishtiRawal, Department of Computer Science.
https://espressif.com/sites/default/files/documentation/0a-esp8266ex_datasheet_en.pdf

11. IFTTT: https://platform.ifttt.com/docs

https://www.pocketlint.com/SmartHome/SmarHomenews

12. Google Assistant:

https://assistant.google.com/intl/en_in/
https://www.pocketlint.com/Apps/Appsnews/Googleappnews

13. Q. Wang, A. Terzis and A. Szalay, “ A Novel Soil Measuring Wireless Sensor Network” , IEEE
Transactions on Instrumentation and Measurement, pp. 412– 415, 2010

14. Ji-woong Lee, Changsun Shin, Hyun Yoe,” An Implementation of Paprika Greenhouse System
Using Wireless Sensor Networks” , International Journal of Smart Home Vol.4, No.3, July 2010.

15. Mahesh M. Galgalikar, “ Real-Time Automization Of Agricultural Environment for Social

Modernization of Indian Agricultural System” , 978- 1-4244-55867/10/$26.00 C 2010 IEEE.
16. Y. Song, J. Wang, X. Qiao, W. Zheng, and X. Zhang, “ Development of multi-functional soil
temperature measuring instrument,” Journal of Agricul- tural Mechanization Research, vol. 9, no. 1, pp.
80– 84, 2010
17. A.R. Sepaskhah, S.H. Ahmadi, “ A review on partial rootzone drying irrigation. International
Journal of Plant Production” , October 2010.

18. Terry Howell, Steve Evett, Susan O’ Shaughnessy, Paul Colaizzi, and Prasanna Gowda,
“ Advanced irrigation engineering: precision and precise” , The
19. Dahlia Greidinger International Symposium 2009.