Emerging Technologies and Innovation

This document discusses the impact of emerging technologies on smart farming and agriculture industry. It includes an annotated bibliography and discussions on IoT, cloud computing, and more.

Running head: EMERGING TECHNOLOGIES AND INNOVATION
Emerging technologies and innovation
Name of the Student:
Name of the University:
Author note:

1EMERGING TECHNOLOGIES AND INNOVATION
Task 1:
Annotated Bibliography:
Article 1:
Kamilaris, A., Gao, F., Prenafeta-Boldú, F. X., & Ali, M. I. (2016, December). Agri-IoT: A
semantic framework for Internet of Things-enabled smart farming applications. In 2016 IEEE
3rd World Forum on Internet of Things (WF-IoT) (pp. 442-447). IEEE.
Present study deals with scientific architecture and framework, which enables smart farming
applications. IoT has the capability influencing the world as well as make advancement of the
industries and impact by developing connected vehicles. Smarter cities are considered as the
elements of IoT equation. On the contrary, applying technology such as IoT in the field to
agriculture industry could have a great impact. It is important to note that there is 9.6 billion
population expected by 2050. It is the population where the industry needs embracing IoT. The
challenges in extreme weather conditions are changing where environment has a great impact on
the resulting from intensive practices in farming.
Discussion:
Article 2:
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and
implementation of a connected farm for smart farming system. In 2015 IEEE SENSORS (pp. 1-
4). IEEE.
Discussion:

2EMERGING TECHNOLOGIES AND INNOVATION
Smart farming is based on the IoT technologies that has been discussed in the paper. It helps the
farmers to minimize waste as well as improve productivity that ranges from the fertilizer utilized
to number of journeys of farm vehicles, which are properly developed. In addition, design and
the process of deploying connected farm for smart framing is discussed in the paper. The benefits
and limitations are also discussed in the study.
Article 3:
Zamora-Izquierdo, M. A., Santa, J., Martínez, J. A., Martínez, V., & Skarmeta, A. F. (2019).
Smart farming IoT platform based on edge and cloud computing. Biosystems Engineering, 177,
4-17.
Discussion:
Smart farming is considered as the capital-intensive as well as hi-tech system in order to develop
food and sustainable for people. The applications involved with the practices of modern
information as well as communication technologies are explained in the paper. Smart farming
that are based on IoT as well as platform based on the edge as well as cloud computing are
described. The benefits of the services as well as challenges faced while use is also described in
the paper. In addition, recommendations are provided to overcome the challenges.
Article 4:
Agrawal, H., Prieto, J., Ramos, C., & Corchado, J. M. (2016, September). Smart feeding in
farming through iot in silos. In The International Symposium on Intelligent Systems
Technologies and Applications (pp. 355-366). Springer, Cham.
Discussion:

3EMERGING TECHNOLOGIES AND INNOVATION
The paper demonstrates the role of IOT in farming process. Development in several types for
sensors in smart cities needs new computing paradigm to the network edge. There are some
comparisons on several scenarios of IoT and cloud computing. In addition, the forensics are
presented as well as discussed in the paper. The outcome of the particular study encourages and
promotes the extensive research in the field of smart farming. It is important to consider the
process for hierarchical development in making security of future communities. It is essential to
develop large scale geospatial networks with the help of IoT.
Article 5:
Suma, N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT based
smart agriculture monitoring system. International Journal on Recent and Innovation Trends in
computing and communication, 5(2), 177-181.
Discussion:
The farmers monitor conditions of the field from any place. IoT based famring is considered as
highly efficient. The landscape of this communication technology follows some common
background. In addition, it is crucial to make comprehensive technologies for diverse the cloud.
There are typical attacks and man-in-the-middle attacks for discussing in the stealthy features. In
addition, authentication techniques are introduced in order to address the security scenario
between fogs. Ubiquitous access to the data enables to get the stream that is copied with the
services and make the system. Retrieving of the latest memo from the same thing can be
achieved with the help of computers in the world. There are several benefits for having fog
computing like connectivity with the apparent. However, it is required to have the Constitution
afford with the information. On the other hand, the law needs to adapt the location of the

4EMERGING TECHNOLOGIES AND INNOVATION
information, which is the medium for travel and protects the privacy through making fourth
amendment.
Article 6:
Prathibha, S. R., Hongal, A., & Jyothi, M. P. (2017, March). IOT Based monitoring system in
smart agriculture. In 2017 International Conference on Recent Advances in Electronics and
Communication Technology (ICRAECT) (pp. 81-84). IEEE.
Discussion:
The applications of IoT in smart farming has been discussed in the paper. The applications can
uplift the other developing or general trends in agriculture. Moreover, it is required to have
proper data processing in the smart farming process that helps to make the services as well as
help to make the sense in the service. In addition, IoT computing is the services that make
concern for the computing like latency. It is important to have proper security as well privacy in
particular things.
Article 7:
Roy, S., Ray, R., Roy, A., Sinha, S., Mukherjee, G., Pyne, S., ... & Hazra, S. (2017, August).
IoT, big data science & analytics, cloud computing and mobile app based hybrid system for
smart agriculture. In 2017 8th Annual Industrial Automation and Electromechanical
Engineering Conference (IEMECON) (pp. 303-304). IEEE.
Discussion:

5EMERGING TECHNOLOGIES AND INNOVATION
The articles deals with deployment model of smart farming, which can be categorized in several
types. In addition, in smart farming there are unusual choices of the suppliers that acts as a vital
role in extending IoT service In addition, it improves high transparent process involved in smart
farming. In this perspective, it is required to manage highly distributed as well as possibly proper
environment, which gives the process as well as motivations on the emergence in the services. In
addition, background as well as emergence of IoT in smart farming can define the major as well
as key characteristics of IoT.
Article 8:
Bhattacharjee, A., Das, P., Basu, D., Roy, S., Ghosh, S., Saha, S., ... & Rana, T. K. (2017,
October). Smart farming using IOT. In 2017 8th IEEE Annual Information Technology,
Electronics and Mobile Communication Conference (IEMCON)(pp. 278-280). IEEE.
Discussion:
There are several applications of precision agriculture. Precision farming is one of the areas that
can make farming practice controlled as well as accurate when it deals with raising livestock. On
the other hand, with the help of manufacturer are considered less key technologies that
characteristics the precision agriculture trend.
Article 9:
Pan, L., Xu, M., Xi, L., & Hao, Y. (2016, December). Research of livestock farming IoT system
based on RESTful web services. In 2016 5th International Conference on Computer Science and
Network Technology (ICCSNT) (pp. 113-116). IEEE.
Discussion:

6EMERGING TECHNOLOGIES AND INNOVATION
Precision farming is considered as the popular utilizations of IoT in horticultural part just as a
few organizations are utilizing the strategy over the world. CropMetrics is considered as the
Precision farming organization that emphasizes ultra-current agronomic arrangements amid
having some expertise in the field of overseeing accuracy water system. Article 10:
Koshy, S. S., Sunnam, V. S., Rajgarhia, P., Chinnusamy, K., Ravulapalli, D. P., & Chunduri, S.
(2018). Application of the internet of things (IoT) for smart farming: a case study on groundnut
and castor pest and disease forewarning. CSI Transactions on ICT, 6(3-4), 311-318.
Discussion:
The process of adopting high-speed internet as well as reliable and low cost satellites are
considered as the key technologies that can characterize the trend of precision agriculture.
Despite of having use of the cloud computing, there are applications as well as services that still
cannot give advantages in the IoT paradigm. Moreover, analysis of the goals as well as
challenges in the IoT computing platform can be presented through the platform of making
designs and proposed most understandable definition. It is required to implement and assess the
prototype platform for IOT computing.
Article 11:
Kale, A. P., & Sonavane, S. P. (2018). IoT based Smart Farming: Feature subset selection for
optimized high-dimensional data using improved GA based approach for ELM. Computers and
Electronics in Agriculture.
Discussion:

7EMERGING TECHNOLOGIES AND INNOVATION
The products just as administrations of CropMetrics comprises of VRI enhancement, soil
dampness tests and virtual streamlining agent PRO. VRI advancement can amplify benefit on the
procedure of watered harvest fields with the geography and soil fluctuation and upgrade yields. It
additionally increment productivity of water use. It also increase efficiency of water usage.
Article 12:
Friess, P., & Riemenschneider, R. (2016). IoT Ecosystems Implementing Smart Technologies to
Drive Innovation for Future Growth and Development. Digitising the Industry Internet of Things
Connecting the Physical, Digital and Virtual Worlds. River Publishers Series in
Communications, 49, 5-13.
Discussion:
The paper deals with the application of IoT in farming. Technology has changed over the time
just as horticultural automatons are considered as the key models. The dirt dampness technology
can give total in-season nearby agronomy support just as prescribe advancing squanderer use
effectiveness. The virtual streamlining agent of PRO can join a few technologies for the
management of water into a focal and cloud based just as amazing area that is intended for the
advisors just as producers taking benefits in the process of precision irrigation through a
simplified interface.
Task 2:

8EMERGING TECHNOLOGIES AND INNOVATION
1. There is any bold and colored text that are matched in the process of self-check report in the
in-content references.
2. In the report, there are not many bold as well as colored text matched in the report. It
comprises of three words copies found in a row. Moreover, few technical terms specialized terms
have been used in the study, for example, smart farming, IOT. The references are comprised of
in the writing part for annotated bibliography. Thus, a negotiable number of bold and colored
texts are matched.
3. Any direct quotation has been utilized in the paper.
4. There are few number of colored texts, which are matched for technical term usage like cloud
computing. It has been tried to avoid those.
5. There are any short number of words in a row found similarity in the process of paraphrasing.
6. In the report, the sources are synthesized as well as the ideas into the paper by introducing the
information sources with signal phase and addition of interruptions in few sentences. Moreover,
there are less than 10% similarity found in the Study Group of Australia.

9EMERGING TECHNOLOGIES AND INNOVATION

10EMERGING TECHNOLOGIES AND INNOVATION
References
Agrawal, H., Prieto, J., Ramos, C., & Corchado, J. M. (2016, September). Smart feeding in
farming through iot in silos. In The International Symposium on Intelligent Systems
Technologies and Applications (pp. 355-366). Springer, Cham.
Bhattacharjee, A., Das, P., Basu, D., Roy, S., Ghosh, S., Saha, S., ... & Rana, T. K. (2017,
October). Smart farming using IOT. In 2017 8th IEEE Annual Information Technology,
Electronics and Mobile Communication Conference (IEMCON)(pp. 278-280). IEEE.
Friess, P., & Riemenschneider, R. (2016). IoT Ecosystems Implementing Smart Technologies to
Drive Innovation for Future Growth and Development. Digitising the Industry Internet of
Things Connecting the Physical, Digital and Virtual Worlds. River Publishers Series in
Communications, 49, 5-13.
Kale, A. P., & Sonavane, S. P. (2018). IoT based Smart Farming: Feature subset selection for
optimized high-dimensional data using improved GA based approach for
ELM. Computers and Electronics in Agriculture.
Kamilaris, A., Gao, F., Prenafeta-Boldú, F. X., & Ali, M. I. (2016, December). Agri-IoT: A
semantic framework for Internet of Things-enabled smart farming applications. In 2016
IEEE 3rd World Forum on Internet of Things (WF-IoT) (pp. 442-447). IEEE.
Koshy, S. S., Sunnam, V. S., Rajgarhia, P., Chinnusamy, K., Ravulapalli, D. P., & Chunduri, S.
(2018). Application of the internet of things (IoT) for smart farming: a case study on
groundnut and castor pest and disease forewarning. CSI Transactions on ICT, 6(3-4),
311-318.

11EMERGING TECHNOLOGIES AND INNOVATION
Pan, L., Xu, M., Xi, L., & Hao, Y. (2016, December). Research of livestock farming IoT system
based on RESTful web services. In 2016 5th International Conference on Computer
Science and Network Technology (ICCSNT) (pp. 113-116). IEEE.
Prathibha, S. R., Hongal, A., & Jyothi, M. P. (2017, March). IOT Based monitoring system in
smart agriculture. In 2017 International Conference on Recent Advances in Electronics
and Communication Technology (ICRAECT) (pp. 81-84). IEEE.
Roy, S., Ray, R., Roy, A., Sinha, S., Mukherjee, G., Pyne, S., ... & Hazra, S. (2017, August).
IoT, big data science & analytics, cloud computing and mobile app based hybrid system
for smart agriculture. In 2017 8th Annual Industrial Automation and Electromechanical
Engineering Conference (IEMECON) (pp. 303-304). IEEE.
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and
implementation of a connected farm for smart farming system. In 2015 IEEE
SENSORS (pp. 1-4). IEEE.
Suma, N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT based
smart agriculture monitoring system. International Journal on Recent and Innovation
Trends in computing and communication, 5(2), 177-181.
Zamora-Izquierdo, M. A., Santa, J., Martínez, J. A., Martínez, V., & Skarmeta, A. F. (2019).
Smart farming IoT platform based on edge and cloud computing. Biosystems
Engineering, 177, 4-17.