Analyzing Smart Agriculture in Terms of IoT

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 4 Issue 3, April 2020 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD30345 | Volume – 4 | Issue – 3 | March-April 2020 Page 222
Analyzing Smart Agriculture in Terms of IoT
Mrunal Mohan Mestry
Student, Department of MCA YMT College of Management, Kharghar, Navi Mumbai, Maharashtra, India
ABSTRACT
Agriculture is the major income source in India. Many farmers in India usethe
traditional way for crop production. Weather conditions in India has changed
a lot nowadays. Agriculture in India depends upon weather conditions. There
are many traditional ways to increase crop production like Irrigation,
greenhouse, fertilizers, etc., but keeping in mind about the current weather
conditions we need a smarter way to monitor the weather conditions. Now
smart farming is possible because of the Internet of Things (IoT).
IoT uses different enabling technologies like cloud computing, big data
analytics, wireless sensor network, embedded systems. Using IoT, we can
track live data like weather conditions, soil moisture, temperature, humidity,
soil PH, soil nutrition levels, water level from any place. The motive of this
paper is to know about smart farming techniques and technologies interms of
the Internet of Things.
KEYWORDS: IoT; Smart Agriculture; Smart Farming; Smart Greenhouse; Smart
Irrigation; IoT enabling technologies
How to cite this paper: Mrunal Mohan
Mestry "Analyzing Smart Agriculture in
Terms of IoT"
Published in
International Journal
of Trend in Scientific
Research and
Development
(ijtsrd), ISSN: 2456-
6470, Volume-4 |
Issue-3, April 2020, pp.222-225, URL:
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International Journal ofTrendinScientific
Research and Development Journal. This
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under the terms of
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/4.0)
I. INTRODUCTION
The Agricultural economy is the main income for India.
India’s agriculture is dependent upon traditional methods.
Around 55 percent of people in India do farming and it
constitutes only 15 percent of GDP (Gross Domestic
Product)[1]. Food andvegetablesprices arerapidlychanging
and increasing because crop production rate is decreasing.
Smart agriculture needs software for management and
sensors for monitoring the data. The importance of Smart
farming is growing due to sudden climatechange and ahuge
population and it results in more requirements of food.
Many farmers have faced issues in traditional methods of
agriculture sector like excessive use of fertilizers,
insecticides, and pesticides, soil salinity, different plants
require different amounts of temperature, humidity, and
moisture[1]. Adding smart practices in farming will help the
Indian economy by increasing crop production rates.
Recent technologies like the Internet of Things, Big data
analytics, Wireless sensor network, Embedded Systems,
Cloud Computing put change over worldwide. These
technologies have also changed the traditional farming
techniques. Smart farming practices are not yet much
familiar in India. Using these technologies infarming farmers
can monitor their fields from any place.
II. INTERNET OF THINGS (IoT)
Internet of Things (IoT) refers to the “Things” which are
numbers of devices or sensors connectedtotheInternet. IoT
allows device to device communication. These “Things”
collect and share live data. IoT is a giant network that
connects things to people and allows collecting as well as
sharing sensed data[2]. In agriculture, a wide range of data
is needed to be sensed like humidity or moisture. Using IoT
in agriculture we can keep track of soil moisture, soil water
level, temperature and humidity and other necessary
information which needed to collect for better crop
production.
III. ENABLING TECHNOLOGIES USED IN IoT
A. BIG DATA
The data which was sensed earlier from any sensor is stored
using big data technology. As we know now IoT allows
devices to sense live data, the sensed data is huge inamount.
As the name suggests the big amount of data is stored and
analyzed, processed using big data analytics technology.
Big data analytics does four types of analytics:1)Descriptive
2) Diagnostic 3) Predictive 4) Prescriptive. In smart
agriculture Predictive analytic is used for doing soil data
mining. For doing soil data mining it uses classification or
clustering algorithms. Better crop sequence is analyzed
using soil data mining[3].
In big data, the data is characterized by volume, velocity,
veracity and variety.
1. Volume: volume refers to the size of the data is to be
analyzed or to be processed. In smart agriculture big
volume of data gets produced every day
2. Velocity: velocity refers to the data generation speed. In
smart agriculture for each minute huge number of data
needs to be analyzed.
3. Variety: In big data, the data has different types like
structured, unstructured and semi-structured.
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International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
4. Veracity: veracity refers to the quality of the data. How
much valuable is the data is found using veracity
characteristic.
B. CLOUD COMPUTING
For storing sensed data on the server the cloud computing
technology is used. Cloud computing is famous for the pay-
as-you-use model which allows you to pay the cheaper cost.
The cloud service provider offers three primary services as
below:
Infrastructure as a service(IaaS): In IaaS service provider
offers infrastructure, virtual environment, storage, and
operating systems Software as a Service(SaaS): In SaaS
service provider offers a method for delivering software
applications over the internet.
Platform as a service(PaaS): In PaaS service provider offers
an environment for debugging, testing and managing
softwares[5].
Cloud computing is used in smart agriculture to send data in
terms of the report over the internet.
C. WIRELESS SENSOR NETWORK
Wireless Sensor Network (WSN) is nothing but
a collection of numerous sensor nodes.
These sensor nodes communicate among themselves
by using radio signals. Each node in
WSN has limited bandwidth, processing speed, and storage
capacity[6].
WSN is used for collecting live data
of parameters like temperature, humidity, pressure, wind
direction and speed, illumination intensity,
vibration intensity, sound intensity, power-line voltage,
chemical concentrations, pollutant levels. In smart
agriculture, WSN is used for sensing live data which is
necessary for better crop production.
IV. APPLICATION AREAS IN SMART AGRICULTURE
The term smart agriculture uses the Internet of Things for
improving the quality and quantity of crop production. Data
like soil scanning, water level, humidity, temperature, etc.,
are collected from WSN. Softwares and applications arealso
used for monitoring temperature, moisture and water
levels. Softwares or applications provide the user interface
for farmers to easily monitor collected data from sensors.
The Global Positioning System also used for tracking the
location of fields.
As sensors collect live data every minute, huge storage is
required. Big data analytics is useful in this case. Big data
analytics stores the unstructured data and also allows doing
analytics on required data.
This is how agriculture adopted modern techniques for
betterment in crops.
Following are some application areas in a smart agriculture
that actually uses IoT and IoT enabling technologies in
farming:
A. Smart Greenhouse
Traditional greenhouses control theenvironmental
parameters manually by some proportional control
mechanisms. InSmart greenhouses, manual intervention is
reduced by intelligently monitoring, and controlling
climate. In smart greenhouse to monitoring
‘things’ DHT11 sensor, LDR sensor, soil moisture sensor,
pH sensor is used. Also, for controlling ‘things’ cooling fan,
exhaust fan, water pump, artificial light, and the
motor pump is used. TheMicrocontroller is an essential part
of IoT. Microcontroller works as a CPU for this system[7].
DH11 sensor: DH11 sensor is used for measuring temperatu
re and humidity. DH11 sensor collects readings of the
temperature and humidity and forwards it to the
Microcontroller. According to those readings,
Microcontroller gives appropriate commands.
Soil Moisture sensor: Soil moisture sensor measures
moisture levels in soil. It contains two metal rods. If the soil
moisture is less the resistance will be high and if the soil
moisture is more resistance will be low.

LDR sensor: LDR(Light dependent resistor) is used for
monitoring light intensity.
If the intensity of light increases, the resistance of LDR will
be decreased. If the intensity of light decreases, the
resistance of LDR will be increase.
pH sensor: pH sensor is used for measuring the pH of soil.
The pH denotes a solution’s acidity or alkalinity. pH sensor
has a pH probe and a pH sensor module. pH sensor helps to
retrieve the pH of the soil and based on that farmers can use
fertilizers in proper proportion on crops.
Microcontroller-Arduino: Arduino board is
Microcontroller which is the heart of the system. Arduino
IDE is an open source and provides an easy interface so that
you can easily handle your system.
B. Smart Irrigation
The smart irrigation system is mainly used to avoid the
wastage of water. Each plant requires a different amount of
water. A smart irrigation system not only calculates the
moisture of the soil but also the soil parameters. The
moisture, temperature level is calculated and appropriate
irrigation is done.
Fig : block diagram of smart irrigation system[9]
1. Soil moisture sensor
Soil moisture sensor is used to measure water level in soil.
2. Temperature and Humidity Sensor
The temperature and humidity sensor is used to reduce the
watering frequency in the field. When the weather gets
cooler, less water is provided to the field and vice versa in
the other case.
3. RelayModule
The relay module is a switch that allows you to turn ON or
OFF a circuit.
4. Peristaltic Pump
The peristaltic pump is used for pumping the water which is
required for the field. The water is stored within a flexible
tube which is fitted inside a circular pump.[9].
C. Agriculture Drones
Agricultural Drone is an innovative idea for live tracking
of crops or fields. Crop health assessment, irrigation, crop
monitoring, crop spraying,planting,soil,and field analysis is
possible using agricultural drones[8].
Drones collect multispectral, visual data. Farmers can view
whole fields by sitting at home or any corner
of the field. Yield prediction, crop health, counting,
chlorophyll measurement, any small problems can be
seen easily. Agricultural drones are faster way to retrieving
crop details. Mostly ground-basedand aerialdrones areused
in smart agriculture.
D. Livestock Monitoring
With the help of wireless IoT devices, farmerscankeeptrack
of location and health status of their animals. Using these
devices farmer can identify a sick animal. The sensors in
livestock monitoring device helps in monitoring blood
pressure, temperature, digestion system, immune system,
and other important health characteristics.
V. Challenges in smart agriculture
A. Cost
As smart agriculture is possible using IoT and enabling
technologies it obvious that the costs of systems will be
expensive. In India, many farmers do not have a good
economic background. Making an effective tool within less
cost is challenge smart agriculture.
B. Awareness of smart farming in rural areas
In rural areas of India, farmers do not have knowledgeabout
smart farming techniques.Farmers should knowthesesmart
practices to increase their income.

C. Proper Technical knowledge
To handle systems made up of IoT technology weneedsome
technical knowledge. To handle the system some softwares
and mobile applications are available through which we can
interact with the system. To handle these applications
farmers must need some basic technical knowledge.
D. Security
The IoT devices used for smart agriculture captures the live
data and stores it in huge storage. As the data comes in the
picture, the security of data becomes essential. The system
should prevent attacks.
E. Authentication
For using the system for a particular field or someone’s field,
proper authentication must be done. The only authorized
person should access the details of the farm. Authentication
secures the data.
F. Platform Independence
The software or application used for running the system
must be platform independent. That application or software
must run on any operating system and different devices too.
VI. Advantages of smart agriculture
Following are some advantages of acquiring Smart
agriculture practices:
 Using smart practices in agriculture results in increased
crop production.
 Using smart irrigation wastage of water is avoided
 Not only the quantity of production is increased butalso
the quantity also increased.
 Detailed farm and field evaluation is possible.
 Real-time remote monitoring of fields has made it
easier.
 Livestock monitoring helps in monitoring health of
animals.
 Drones are useful in capturing crop growth from initial
stage.
VII. Conclusion
The IoT has made farming easier. IoT uses differentenabling
technologies. One of them is a wireless sensor network
(WSN) which is used in smart agriculture to collect the live
data of fields like humidity, weather conditions,
temperature, water levels, fog, etc. This collected live data is
huge in amount. Here the need for Big data analyticshelps to
store and do analysis on data. Big data analytics uses some
clustering and classification methods which allowtododata
mining on stored data. By using this technique farmers can
calculate the need for fertilizers. Collecting and sharing data
over the server is also possibleusingCloudcomputing.Cloud
computing is also useful in smart farming. To improve the
economy of India farmers should adopt these modern
practices of farming.
References
[1] Kodali, Ravi Kishore, Vishal Jain, and Sumit Karagwal.
"IoT based smart greenhouse." 2016 IEEE Region 10
Humanitarian Technology Conference (R10-HTC).IEEE,
2016.
[2] https://www.ibm.com/blogs/internet-of-things/what-
is-the-iot/
[3] Rajeswari, S., K. Suthendran, and K. Rajakumar. "A
smart agricultural model by integrating IoT, mobile
and cloud-based big data analytics." 2017 International
Conference on Intelligent ComputingandControl(I2C2).
IEEE, 2017.
[4] https://www.bigdataframework.org/four-vs-of-big-
data/
[5] https://azure.microsoft.com/en-in/overview/what-is-
cloud-computing/#cloud-computing-models
[6] Matin, Mohammad Abdul, and M. M. Islam. "Overview
of wireless sensor network." Wireless Sensor Networks-
Technology and Protocols (2012): 1-3.
[7] Agnal, Sharmila, et al. "Automated Smart Greenhouse
Environment Using IoT." (2018).
[8] https://medium.com/sciforce/smart-farming-or-the-
future-of-agriculture-359f0089df69
[9] https://www.electronicsforu.com/electronics-
projects/prototypes/smart-irrigation-system

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