IOT IN
AGRICULTURE

Group Members
1. Md Mahday Hasan Mufty: 192-15-13329
2. S M Mostafizur Rahman: 192-15-13322
3. Fardin Yeamin Avi : 192-15–13300
4. Md Tanzil Islam Siam : 192-15-13316

What Is IoT In Agriculture?
→ IoT in an agricultural context refers to the use of sensors ,cameras, and other devices to turn
every element and action involved in farming into data.
→ Weather , moisture, plant health , mineral status , chemical Application , pest presence and
much more cal all be turned into large data sets that allow big data endineer to drow out
insights about the farm at varying levels of granularity via software algorithms.
→ As Alpha Brown emphasizes , IoT is not a product or particular tool, but a family of
technologies.

Structure of Iot

Why Smart Agriculture Needs over Tradition Farming
Smart farming is a fairly new term and the majority of farmers are not familiar with what exactly
stands behind it. In this post we will shed light onto the concept of smart agriculture and why it
is the future of farming.
Smart farming practices emphasize production, capital gain, input intensity and crop
consistence. In contrast, traditional agricultural practices emphasize localization, biodiversity,
shared genetic resources and a cultural appreciation for many different crops.Smart farming uses
advanced technology, it is less labor intensive than traditional agriculture, and the yield quantity
is larger. In that case the Autofarm has produced power weeder, mini power weeder and coconut
dehusking machine plays a major role increasing the quality and quantity of the crops while
optimizing the human labor used.

Smart Agriculture Using IoT
Agriculture is India's economic development's most important pillar. Climate change is the most
important boundary that conventional farming faces. Overwhelming flooding, the most extreme
hurricanes and warm winds reduced rainfall, and other climatic shifts are among the many
consequences.
1.Extremely efficient
2.Expansion
3.Resources are in short supply.
4.Hygienic Procedure
5.Agility

Common IoT applications
The most common IoT applications in smart agriculture are as follows:
Sensor-based systems for monitoring crops, soil, fields, animals, storage facilities,
and just about anything else that has an impact on productivity.
Smart agricultural vehicles include drones, autonomous robots, and actuators.
Connected agricultural settings include smart greenhouses and hydroponics.
Data analytics, visualization, and management systems.

Major Applications
Each aspect of conventional farming strategy can be modified on a very simple level by
implementing the most recent detecting and IoT advances in agriculture practices. Right
now, consistent convergence of wireless sensors and the Internet of Things in smart
agriculture will propel agriculture to previously unimaginable heights.
1.Climate Change
2.Precision Farming
3.Smart Greenhouse
4.Aerial Drones in Agriculture

Implications of Implementation
Agriculture IoT implementation on a wide scale is possible, as it were, with the
government's support [8]. It will aid in the decision-making process by delivering user- friendly
plans and strategies. It can have subsidized gadgets and bases that farmer can't handle in any
other way. Agriculture supply chain flaws must be addressed [9]. To offer the most severe
benefits to farmers and consumers, the position of an agent should be re- examined and
handled

Tradition Agriculture
Traditional Agriculture can be defined as a primitive style of farming that involves the intensive
use of indigenous knowledge, traditional tools, natural resources, organic fertilizer and cultural
beliefs of the farmers. It is noteworthy that it is still used by about 50% of the world population.
Characteristics of traditional agriculture
1. Extensive farming with indigenous knowledge and tools
2. Indigenous tools like axe, hoe, and stick
3. Method: Slash & Burn, and Shifting Cultivation
4. Cattle raisin helps to create fallow land
5. Absence of accountability and responsibility to the Environment
6. Lacked by surplus production

Internet of Things in Agriculture
Precision Farming
Smart Greenhouse
Data Analytics Agricultural Drones
Climate Conditions

Research Methodology
A systematic literature review (SLR) is selected as the research methodology for this paper. The
goalof this research is to investigate and provide a review of existing IoT-based agricultural
monitorin gapplications, sensors/devices, and communication protocols.

Future Application
IoT helps us meet our food needs by reducing environmental hazards, such as extreme weather and climatic transitions.
The harvesters and tractors were both mechanical inventions that work in agriculture since the 20th century. The agriculture
industry is heavily dependent on innovative ideas because of the increasing demand for food.
The Industrial IoT has aided increased agricultural productivity with a lower cost, so, over the next few years, smart systems
based on IoT will be more common in agricultural operations.
A recent estimate shows that the agricultural industry will experience a compound annual growth rate (CAGR) of 20% due to IoT
system installations.
In addition, the number of linked agricultural devices will increase from 13 million in 2014 to 225 million by 2024.

Challenges Faced By IoT in Agricultural Sector
1. Lack of Infrastructure: Even if the farmers adopt IoT technology they won’t be able to take benefit of this technology due to
poor communication infrastructure. Farms are located in remote areas and are far from access to the internet
2. High Cost: Equipment needed to implement IoT in agriculture is expensive. However sensors are the least expensive
component, yet outfitting all of the farmers’ fields to be with them would cost more than a thousand dollars. Automated
machinery cost more than manually operated machinery as they include cost for farm management software and cloud access to
record data.
3. Lack of Security: Since IoT devices interact with older equipment they have access to the internet connection, there is no
guarantee that they would be able to access drone mapping data or sensor readouts by taking benefit of public connection. An
enormous amount of data is collected by IoT agricultural systems which is difficult to protect. Someone can have unauthorized
access IoT providers database and could steal and manipulate the data.

Conclution And Future Work
As a result, smart agriculture is needed. The Internet of Things would assist in the
development of smart agriculture. IoT is used in various agricultural domains to improve
time efficiency, water conservation, crop monitoring, soil management, bug spray and
pesticide safety, and so on. It also eliminates human labor, deconstructs agricultural
methods, and creates a difference in smart farming implementation. Agriculture is a
profession that has relied on traditional practices and experiences up to now. However, the
passage of time has affected rural traditions, and they have started to adapt to the flow of
change.

Thank You
Ma’am