AGRICULTURE ENVIRONMENT MONITORING SYSTEM USING ANDROID

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 423
AGRICULTURE ENVIRONMENT MONITORING SYSTEM USING ANDROID
Abhishek kumar1, Abhay pal2, Apoorv Bhardwaj3, Sachin pandit4, K.Raghunath Reddy5
12345Dept. of EEE Dayananda Sagar college of engineering of Bangalore, Karnataka, India
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Abstract – Agriculture is the basic source of living in
India, But due to a lack of information and experience, farmers
sometimes Faceproblems So, we decide to work on this diverse
topic and come up with a project agriculture Environment
Monitoring systemusingtheAndroid’inwhichthetemperature
and moisture will be evaluated and analyzed. Climate changes
had a significant impact on agriculture products .therefore a
number of new technologies are being created to conduct
smart agriculture in order to increasethe quality and quantity
of agricultural goods. The project includes a Soil moisture
sensor, Humidity sensor is used to measure soil parameters. A
water motor will be presentwhichwillbeautomaticallyturned
on if less water content is found in the soil. This Project can
start out to be revolutionary in the Indianagriculturefield.The
suggested methodaids intheprocessofremotemonitoringand
water conservation. A GUI waselaboratefortheandroiddevice
to get all the parameters of the agriculture environment and
we can see the parameter at present time.
Key Words: Smart Agriculture, humidity sensor,
ultrasonic sensor, temperature sensor, android device,
Arduino,node-MSU, relay switch, soil moisture sensor.
1. INTRODUCTION
Today, growing crops can be a daunting task forfarmersdue
to the unpredictable climate and high seed costs. Due to
sudden climate change, the damage rate is high and the loss
rate is high. There fore to avoid this scenario, we need to use
effective design techniques. The solution to this problem is
to follow precision agriculturepractice. precisionagriculture
follows a defined set of rules. they collect data from
agriculture and send it to our android device. Protection of
cultivated plants is very important. Therefore, we need to
monitor the data and this data must be real-time. Farming is
made simple, cost-effective, and labor efficient through the
use of smart farming, which also increases crop yields and
boosts output. The use of numerous technologies and
gadgets, including the internet and IoT device, is referred to
as smart farming. In order to feed these many people, We
need to increase our production. Precision is another name
for smart farming. In this project, we are proposing a two-
layer model (two soil moisture sensors will beused-first one
in the upper part of the field and a second one in the bottom
layer near the roots of the plantation. This two-layer system
can save a lot of water in the areas where the water level of
the soil is below the required level. We can save a huge
amount of water. On the grass root level, we are basically
monitoring the different parameters of the agricultural
environment and also proposing automatic water supply to
the fields when the soil moisture will become lower thanthe
required quantity.
2. Literature survey
[1]. This study comprises an external solar panel and a
smart farming concept(uninterrupted power supply). All
sensor data is handled initially at a control unit center using
an Arduino microcontroller.it uses the Thinkspeak cloud
server. For manual soil parameter control and remote
monitoring, a mobile application is being developed
[2] They proposed a methodinthisstudythatprovidesan
intelligent monitoring system supported by the Android
platform, giving the ability to immediately access monitored
metrics on mobile devices from any location on Earth.. There
are countless opportunities to expandthemonitoringsystem
because mobile phones and the application supportability
provided by the Android operating system allow mobility
over 2G and 3G networks.
[3] This study demonstrates how a low-cost smart
agricultural model can be created utilizing basic sensors like
soil moisture, humidity, temperature, and LDR sensors to
detect light. The data is then collected into a database and
made available to the user using an Android application
[4] Internet of Things-Based Smart Monitoring of
Agriculture Field and Water Pump Control The evolution of
sophisticated agricultural monitoring is shown in this work.
An android device is used to monitor the entire system and
all of its sensors while operating the pump motor.
[5] This paper discusses IoT implementation. There are a
number of sensors used in it such as soil moisture sensor ph
sensor, motion detector sensor, and water volume sensor.
here two different sensors are used in this paper (ph sensor
and motion detector sensor ) here motion detector sensor is
used to detect unusual movement that’s happening around
the field and send it to the server after that the devicecreates
noise and the animal run away after hearing the noise.
3. SYSTEM DESIGN
A. Node MCU (ESP8266EX)
NodeMCU is an open source platform based on the
ESP8266 that enables Wi-Fi connectivity and data
transmission. Additionally, it can fulfil many of the project's
requirements on its own by providing some of the most
important microcontroller features, like GPIO, PWM, ADC,
and others..

Fig-1:- Node MCU
B. ARDUINO UNO
A low-cost, versatile,andeasy-to-usemicrocontrollerthat
may be utilised in a variety of electronic applications is the
open-source, programmable Arduino UNO board.Thisboard
can communicate with other Arduino boards, Arduino
shields, and Raspberry Pi boards as well as control relays,
LEDs, servos, and motors as output devices.
Fig- 2:- Arduino UNO
C. SENSORS
i. SOIL MOISTURE SENSOR
A soil moisture sensor is a device that monitors the
current moisture content of the soil. The irrigation system’s
sensor helps schedule water supply and distribution
considerably more effectively. These gauges aid in reducing
or increasing irrigation for optimal plant growth.
Fig 3:- Soil moisture sensor
ii. ULTRASONIC SENSOR
An ultrasonic sensor is a piece of technology that detects the
distance between two objects using ultrasonic sound waves
and then transforms the sound's reflection into an electrical
signal. Ultrasonic waves move more quickly than audible
sound does.
Fig 4:- Ultrasonic sensor
iii. FLAME SENSOR
A flame sensor is a specific kind of detector made for the
purpose of spotting firesandrespondingtotheappearanceof
flames. The installation of the flame detection system may
affect how it responds. includes fire extinguisher system,
propane gas, natural gas pipeline, and alarm system.
Fig 5:- Flame sensor
iv. TEMPERATURE AND HUMIDITY SENSOR
A fairly straightforward andinexpensivedigital temperature
and humidity sensor is the DHT11. It measures the
surrounding air and outputs a digital signal to the data pins
using a thermistor and a capacitive humidity sensor.
Fig 6:-DHT11 SENSOR
D. RELAY MODULE
Switchescanbethoughtofasrelays.Itiscustomarytomanually
openandclosecircuitsusingswitches.Aswitchthatconnectsor
disconnects two circuits is also known as a relay.

Fig:- 7 Relay module
E. MOTOR
This is a DC water pump, which will beusedforpumping the
water from the container.
Fig:- 8 DC motor
F. ANDROID DEVICE
Android mobile is a device through which we can see all
parameters or it will display the result.
4. BLOCK DIAGRAM
 The system first checks the moisture content of the
soil.
 If the moisture level is less than the given value,
then the motor is automatically on, and when it
reaches its sufficient moisture content, it will be
automatically off.
 We are using two moisture sensors 1st on the
bottom layer of the field and the second one on the
top layer of the field.
 Apart from soil moisture sensors, we are using a
temperature sensorthatwill detectthetemperature
of the field and a humidity sensor that will give
information about the humidity of the field.
 In this project a flame sensor is also used which will
detect the flame in the field and a buzzer will turn
on automatically till the fire is in the field.
 To get the level of water in the water tank, we are
using an ultrasonic sensor that will detect the level
of the water tank.

In the software section, the following tools we were
used:
 Proteus software
 Arduino Uno
 Library:- Soil moisture sensor, Arduino
Fig:-9 simulation of hardware system
5. Result and Discussion
The agricultural environment monitoring server system
proposed in this project was prototyped and tested. Early
prototype versions were able to monitor and collect all
outdoor environmental data such as soil information,
temperature information, humidity information, humidity
information, and water levels from sensors and other
physical devices via theGUI.Theprototypeversionincludesa
low-power system with built-in board modules and a
compact web server with NetBeans IDE and Java
programming language to automate watering and send
external environment information to Android mobile apps.
And the information from the mobile app.
Fig 10:- A working model of agriculture environment
monitoring system using android
Fig:-11 Result display on Android mobile
6. CONCLUSION
The “Agricultural Environment Monitoring System using
Android ” project was used to optimize water use in the
agricultural sector without the intervention of farmers by
using the soil moisturecontentofthesoilusingArduinoUNO.
The Arduino UNO willautomaticallyturnthepumponandoff
as needed forthe water. it is forirrigationandthereforehelps
while saving water This system is very affordable and
feasible. This irrigation system is also useful in water-scarce
areas and improves sustainability. It can also be adjusted
according to the needs of the varieties of watering plants. If
the agriculture environment monitoring server system
proposed in this document is applied to the agriculture
environment it is possible to monitor environmental
information even in remote areas.,and it is expected to
contribute to the increase in yield and quality in the
agriculture field
REFERENCES
[1] Abhishek Srivastava,DushmantaKumarDas,RaviKumar,
“Monitoring of Soil Parameters and Controlling of Soil
Moisturethrough IoT-basedsmartAgriculture”IEEEStudent
Conference on Engineering & system(SCES) 2020.
[2] Abhishek Brave, Pragnesh Shah, “Android-based Remote
Monitoring System” International Conference in Recent
Trends in Information Technology and Computer Science
(ICRTITCS – 2012)
[3]Rajalakshmi.P,Mrs.S.DeviMahalakshmi“IOTBasedCrop-
Field Monitoring and Irrigation Automation” 10th
International conference on Intelligent systems and control
(ISCO), 7-8 Jan 2016 published in IEEE Xplore Nov 2016.

[4] Mr. M. Suresh, S.Ashok,S.ArunKumar,“SmartMonitoring
of Agriculture Field and Controlling of Water Pump Using
Internet of Things” International conference on system
computation automation and networking 2019.
[5] Rahul Dagar, Subranil Som, Sunil Kumar Khatri, “Smart
Farming -IoT in Agriculture” international conference on
inventive Research in Computing application (ICIRCA2018).

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