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The report should be based on a minimum of 3 peer reviewed papers from the chosen research field. A full bibliography and correct citations are also required.Topic: IOT APPLICATION IN AGRICULTURE Here...

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The report should be based on a minimum of 3 peer reviewed papers from the chosen research field. A full bibliography and correct citations are also required.Topic: IOT APPLICATION IN AGRICULTURE
Here is the pattern it should follow

RESEARCH TOPIC: IOT APPLICATIONS IN AGRICULTURE

RESEARCH OBJECTIVES

· Have a deep understand of IOT applications, problems associated with its adoption and how to solve this problem in the context of agriculture.

RESEARCH QUESTIONS

· Understand what IOT is and its application

· Analyze the current IOT agriculture applications AND DEVICE

· Problems associated with IOT adoption in agriculture

· Future suggestions for solving this problem

Answered Same Day Nov 25, 2021

Solution

Himanshu answered on Nov 30 2021
160 Votes
IoT Applications in agriculture
Victo
Abstract. Agriculture was and continues to be the backbone of many economies.
In countries like India, at least 60 percent of the people are directly or indirec-
tly dependent on the agriculture. However, at the turn of the century, there are
more people in u
an areas than there are in rural areas worldwide and India
will soon follow this trend. With the practice of modern farming techniques,
agriculturalists and horticulturists are increasingly turning to technological in-
novations to increase yields and quality while driving down prices. Various
applications of technology can be seen in the field of agriculture. Many Asian
countries are agrarian economics and most of the rural families in are based on
agriculture to earn their livelihood. For example, during the 20th century, agri-
cultural sector had a huge share in India’s GDP (35.7 %), but in present scena-
io its share is decreasing (14.4 %) due to a variety of reasons viz.., high cost to
farmers input, labor scarcity, global warming and others. Nowadays emerging
technology like Internet of Things (IOT), Embedded Systems and Artificial Intel-
ligence (AI) are being implemented in this sector for various operations so that
productivity and quality can be improved by utilizing technologies for perfor-
ming operations like seed sowing, harvesting, crop monitoring and spraying of
fertilizer. These technologies are developed to avoid problems caused because
of shortage of labor and to increase speed and yield at the same time. Emer-
ging applications of robots or drones in agriculture sector include weed control,
cloud seeding, planting seeds, harvesting, environmental monitoring and soil
analysis. The application of robotics in agricultural sector is a challenging task
at present and a lot research work is going on to develop a robot that can per-
form variety of operations with the use of latest technology. Automated control
of farming has major advantages over manual control of operations such as
effective and efficient management of resources and reduced time. The
agricul-ture robot market is projected to grow from USD 7.4 billion in 2020 to
USD 20.6 BILLION by 2025 approximately 22.8 % growth and it is being
steadily adap-ted by farmers to accomplish tasks more quickly and increasing
yields of higher quality. Engineering research in the area of agriculture holds
an important key for sustainable future of Mankind. Smart technology has
een integrated into their farming to keep track of variables such as
humidity, precipitation, and temperature to determine the likelihood of a crop
disease occu
ence, and react accordingly.
1. Introduction
IoT is the network of things that clearly recognise elements by means of software intelli-
gence, sensors and ubiquitous internet connectivity. In IoT, data collecting linked items o
objects from the Internet include gadgets, sensors and actuators. Many researchers have
concentrated on intelligent systems that enhance productivity and efficiency to track and
manage agricultural parameters. Intelligent systems gather measurement data in order to
achieve reliable results, which may lead to acceptable actions.Cu
ent use of intelligent
systems in agriculture includes the collection of data concerning environmental compo-
nents including temperature, precipitation, soil moisture and pH. Researchers have intro-
duced intelligent agricultural systems to make the farm process more efficient with the
accurate collection of sensor data using various sensors. These studies focuses primarily
on sub verticals like water management, crop management and intelligent farming. Au-
tomation of processes through the elimination of human interaction, costs, energy usage
and water consumption.
Each country’s population is dependent on agriculture, which means that consumers can
make optimum use of their water and property. In addition, to optimise profitability it
is important to have quality production and crop management. For an agriculturally ba-
sed country, therefore, IoT specific agricultural management systems are integral. The
new IoT-based systems eliminate the disadvantages of conventional approaches and de-
liver multiple benefits. For example, water systems based on IoT, collect environmental
attributes like temperature, humidity, water level, and other factors through the sensors
and provide with accurate timing of i
igation. Plant management systems that use IoT
to track temperatures, moisture and soil through sensors to ensure that they are adequate
Information to help farmers to better manage crops. All in all, these IoT-based systems
contribute to reducing human contact, energy consumption and agricultural costs. In
addition, agriculture focused on IoT In the fields of pesticide control, meteorological mo-
nitoring, nutrient management and greenhouse management, similar applications were
used.
Therefore, IoT uses sensors for agriculture for the collection of large-scale farming data.
It seeks out, analyses and addresses models based on large data, which enhance the sus-
tainable development of agriculture and can provide with effective and inexpensive solu-
tions.
2. Market survey
Area used for sowing the crop increased by about 10 % in the year between 1951 and
2015. In the Same Period population increased by about 350 %.and expected to increase
up to 1.51 billion by 2030. [1]
As increasing affordability of Internet of Things (IoT) and GPS technologies helps to
smart agriculture market to grow from USD...
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