IoT in Agriculture: Applications and Impact on Smart Farming

This article discusses the applications and impact of IoT in agriculture, with a focus on smart farming. It explores how IoT devices and technologies are revolutionizing the farming industry by providing real-time data analysis and solutions to improve productivity and efficiency. The article also highlights the use of IoT in monitoring environmental conditions, weather prediction, and connecting datasets through web applications. The study concludes with insights into the challenges and future directions of IoT in farming.

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Annotated Bibliography
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Assessment Item 4:
Task 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.
The main focus of this article is to elaborate the application of IOT present in the field
of Agriculture. IOT in fundamentally utilized in order to gather, process and investigate the
real time data, which provides optimal solutions to the problem related to the Agriculture
field. Followed by the article it is also mentioned there that at this phase of time the
applications of IOT is domain dependent which provides the facility to process and
investigate the data streaming for specific areas. It has been observed by the author of this
article that the context of Agro food Industry has several parameter which needs to be
monitored those parameters are environmental condition, weather condition, regulation as
well as the production and preservation. Since, these parameters has significant influence on
the production of agro supply chain, thus in order to reduce the impact of these factors on the
field of agriculture the concept of IOT has been introduced which offers a flexible operation
in order to take the conventional Agro supply chain towards smart farming. In this article the
applications of IOT and there influences has been discussed by the author which has offers
systematic as well as semantic process of pipeline. This paper has also covers the process
offered by IOT in the farming platform which includes the effective operations on farming,
smart farming framework as well as effective solutions related to link the application of web
in farming in order to connect dataset.

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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.
Primary concern of this article is to explore about the adoption of IOT in Farming.
Since, farming such as agriculture provides the humans as well as the entire planet an
essential supplement like energy, fiber and most importantly food. Thus the adoption of new
technologies in this field is highly demandable in order to make tis procedures more efficient
as well as effective. Since, the main objective of this study was to explain how IOT has
helped the farming industries in order to provide a smart farming thus, this paper has
prepared by the analysis of a farm which is connected with the new trending technology IOT.
Followed by this article the application of IOT as well as their significant impact on the
population has been recorded. The results were established by comparing the conventional
data with the updated information which has helped to identify the difference between the
applications.
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.
Fundamental concern of this article is to analyse the involvement of IOT in Farming.
Since, currently smart farming has significant influence which has helped to provide the
farmer the facility to gather detail about their field as well as their productions. This paper
has briefly explained about the adoption of IOT in order to apply the concept of automation
and observation in their environmental aspects which has helped to enhance their work
process and effectiveness. Followed by this study the observation of humidity as well as the

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temperature using CC3200 chip. Along with the adoption of chips also the cameras has been
implanted in order to monitor the farms. Analysing this study this has been observed that IOT
has surely made several changes in the field of Farming.
Malavade, V. N., & Akulwar, P. K. (2016). Role of IoT in agriculture.
In National Conference on" Changing Technology and Rural
Development" CTRD.
Main focus of this article is to provide the detail study of the application and
development of IOT in agro field. The study has efficiently discussed about how the
application Internet of things has made a path for farming to take a step towards the smart
farming. The features of smart farming includes the work efficiency, enhancement of its
productivity, improvement of global marketing as the other effective functionalities which
offers less human interruption, low cost and time duration. The article has covered the
concept how in this growing industries it is essential to adopt new technologies for the sake
of smart farming. Followed by this article it has also elaborated the detail about how the
smart farming can be operated by IOT devices as well as by mobile devices. Detail analysis
of this article will help to understand how the concept of IOT has helped this field in order to
access globally and how this has solved the problems regarding farming.
Jaiganesh, S., Gunaseelan, K., & Ellappan, V. (2017, March). IoT
agriculture to improve food and farming technology. In 2017 Conference
on Emerging Devices and Smart Systems (ICEDSS) (pp. 260-266). IEEE.
Main concern of this study is to provide a detail view related to researches which are
based on IOT in the sector of agriculture. Currently agriculture has the impact on agriculture
by providing the GPS sensors as well as the IOT devices to monitor the operation of

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agriculture. Effective investigation of this article will help to understand the how utilization
of IOT has bring the facility of prediction, providing suggestions as well as the process of
development and how these functionalities has made the agro processes more speedy and
effective. Since, this paper has effectively explained the researches on IOT in agriculture
sector thus detail study of this paper will surely provide the brief about the influence of IOT
in farming.
Rupanagudi, S. R., Ranjani, B. S., Nagaraj, P., Bhat, V. G., &
Thippeswamy, G. (2015, January). A novel cloud computing based smart
farming system for early detection of borer insects in tomatoes. In 2015
International Conference on Communication, Information & Computing
Technology (ICCICT) (pp. 1-6). IEEE.
Followed by this article it has been noticed that the main objective of this study is to
provide a brief discussion about how IOT has offered the farmer the facility to detect
infections and problems related to their field and products. This paper has initially discussed
about how the problems related to farming such as infection of products and the attacks to
infects as well as the produced quality of the product has created limitation to their business
growth and work efficiency. Later on, the study has provided detail knowledge about how
technologies such as IOT has improved their progress towards smart farm. The application of
IOT such as cloud computing, robotics and image processing has helped the farmers by
providing them effective detection techniques which has a significant influence on safe
guarding the products as well as the this helps to provide alert in case of any occurrence of
infection. The study has basically addressed these above statements by analysing one of the
popular as well as needful fruit which is tomato. A brief discussion about the application of

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IOT on this in order to detect the problems as well as how well IOT has provided solutions to
it has been covered.
Jayaraman, P., Yavari, A., Georgakopoulos, D., Morshed, A., & Zaslavsky,
A. (2016). Internet of things platform for smart farming: Experiences and
lessons learnt. Sensors, 16(11), 1884.
The main focus of this article is to provide a brief study about the identification of
improvement factors of the conventional farming due to the utilization of IOT in the
agriculture sector. Initially it has discussed in the detail about how in the conventional
process has addressed the requirements related to the farming which includes field data
collection, improvement in productivity. This has also stated the drawbacks related to the
conventional farming process by analysing several practical examples. Later on the article
has the content which has explored about the essentiality of the utilization of IOT in order to
make smart farming. Followed by the article there is an over view of how IOT is capable to
addressed several fields which includes the process of networking in agriculture, weather
prediction, suggestion related to the farm field and many more. This study has furthermore
discussed about the possible application of IOT in farming in order to expand it globally by
including web applications into it. Thus, by applying the concept of smart farming the
researcher has recommend a structure of SmartFarmNet, implementation of which will help
to take step towards smart farming. Lastly, the article has explained about the application,
effectiveness and experiences related to the SmartFarmNet.

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Dolci, R. (2017, July). IoT solutions for precision farming and food
manufacturing: artificial intelligence applications in digital food. In 2017
IEEE 41st Annual Computer Software and Applications Conference
(COMPSAC) (Vol. 2, pp. 384-385). IEEE.
The main concern of this article is to explain the adoption of advance technologies in
current farming industries. Along with explaining the market value of farming this article has
also discussed about the influence of IOT in farming platform. Followed by the content of the
article it has discussed that how the advance technologies are enhancing the productivity and
reducing the need of nutrient and water. Applying the statistical progress report the study has
elaborated how IOT has influenced the farming industries by satellite driven systems, IOT
devices, cameras and GPS. The article has also express a statement about how IOT have
helped to reduce the cost and time which are one of the significant factors of farming
industry. By conducting a research by enabling AI system on a Malthouse in order to
determine how matting procedure getting effected by the PH level, temperature, Humidity.
Lastly, the article has concluded with the result which has explained the impact of IOT on
Farming.
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.
Based on the concentration of this article it has been observed that this paper has
mainly focused on the implementation of the new technologies in the agriculture field.
Furthermore, this report has elaborate about why it is essential to involve the new trending
technologies such as IOT. A brief discussion about the future scope of the application of IOT

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in order to enhance the productivity and efficiency has been has been addressed by the
author. Followed by the above content this article has also explained about the utilization of
several sensors, IOT devices, mobile devices in order to monitor the progress of farming
industries, along with this discussion the article has also covered the aspect in which it has
discussed the need of automation in Agriculture industry in order to help the farmers by
providing them solutions related to weather and farming field. Lastly this article has
concluded with an appropriate result which has a clear description of the influence of IOT in
farming.
Ray, P. P. (2017). Internet of things for smart agriculture: Technologies,
practices and future direction. Journal of Ambient Intelligence and Smart
Environments, 9(4), 395-420.
The main objective of this study is to analyse several potential factors of IOT which
has influenced the farming industries. Along with explaining the potential factors this study
has discussed about the impact as well as the challenges faced by the farming industries while
developing IOT in their field. It has also covered the discussion related to the required
requirement and their usability such as wireless communication devices, IOT devices and
mobile devices. In order to get accurate valid result the investigation has been performed on
the sensor devices as well as other IOT devices which has helped to take a step towards
improving the operation of farming by making it a smart process. Followed by the above
aspects the article has also consist of the content related to the performance and solutions of
IOT application. Lastly, the study has concluded with the analysis of the present drawbacks
related to IOT implementation and the scope of their betterment.

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Walter, A., Finger, R., Huber, R., & Buchmann, N. (2017). Opinion: Smart
farming is key to developing sustainable agriculture. Proceedings of the
National Academy of Sciences, 114(24), 6148-6150.
This study has mainly focused on the concept of IOT in farming in order to analyse
how farming has been influenced by advance technologies. Followed by objective of the
article it also consists an expanded discussion about the applicant of robotics, automation as
well as sensor devices. As the resultant of these application the innovation of less human
interactive fertilization, mechanical weeding as well as the fruit harvesting has been done.
Along with these innovation this study has covered the analysis of the practice of IOT in the
agriculture field. Followed by the above process it has also discussed about how IOT helps
the farmers in decision making such as temperature prediction, weather prediction,
recognition to possible diseases. Lastly this article has concluded with the benefits of IOT in
farming and its necessity.
Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., & Ellis, K. (2017). IoT
in agriculture: Designing a Europe-wide large-scale pilot. IEEE
communications magazine, 55(9), 26-33.
The fundamental concentration of this article is to expand the influence of the
utilization of IOT in the agriculture domain in order to rectify the problems related to
environments and societal which are faced by the agriculture sector. The impact of IOT can
improve the process regarding food safety as well as their quality. Along with discussing the
above aspects the study has also discussed about the significant implementation of IOT for
the enhancement of the farming services which includes the implementation of Large Scale
Pilot which are entirely IOT based according to the study which has one of the most
significant impact on the supply chain. Along with this the article has also involved the

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discussion related to the implementation of LSP which includes the social challenges as well
as the legal challenges. This has also discussed about how those problems are being rectified
by IOT in an effective manner. Lastly, the paper has concluded that while considering the
adoption of IOT in the field of agriculture several cultural aspect needs o changed.
Task 2:
Self-Evaluation –
As per the instruction of task 1 I have gathered 12 articles related to the topic “IOT IN
FARMING”. After successfully completing the task 1 I have checked my assignment in the
trunitin.com which has analysed my assignment and reported with 16% of plagiarism report.
However, most of the plagiarism has been noticed in the reference part the few percentage of
plagiarism has been observed in the context also. After analysis the plagiarism report it has
been observed that the plagiarism in the context are mostly related to terms and in some
phrase which cannot be removed. The reason behind the occurrence of plagiarism in the
reference part is, the mentioned references has been collected from Google Scholar since it
has World Wide access thus students across the world can use those citations. Thus, it can be
stated that task 1 has been completed successfully without any major plagiarism concern.

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