IoT in Farming: Annotated Bibliography and Journal Synopsis

This document provides an annotated bibliography and journal synopsis on the use of Internet of Things (IoT) in farming. It explores the benefits and challenges of implementing IoT in agriculture for sustainable development goals. The annotated bibliography covers topics such as smart feeding in farming, IoT applications in agriculture, and the role of big data in smart farming. The journal synopsis discusses the introduction of IoT in farming and its potential to achieve sustainable development goals.

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Emerging Technologies and Innovation
(Student Details: )
9/9/2019

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Contents
Internet of Things (IoT) in Farming...........................................................................................2
Task 1 Annotated Bibliography.................................................................................................2
Task 2 Journal Synopsis paper...................................................................................................8
References..................................................................................................................................9

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IoT in Farming
Source: (Dolci, 2017)
Task 1 Annotated Bibliography
The paper is emphasized smart feeding in contemporary farming via IoT into silos.
This research, smart farming has been observed carrying the utmost importance for an
economy in order to foster their growth and tackle issues like hunger and food insecurity.
Apart from this, this research has highlighted the importance of smart farming while ensuring
the well-being of its citizens. On the other hand, aforementioned practices need huge savings
which are actually not inexpensive for SMEs. In this context, the authors have suggested that
smart farming via IoT in silos is a case of costly weighing machines. However, the wide-
range of possibilities of IoT could minimize such costs during linking the data to intellectual
cloud-services like smart feeding systems. In this way, the research has presented a new IoT

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device along with methodology for monitoring quality and quantity of grains in silos while
approximating the grains’ volume at altered time durations with humidity and temperature
into the silo.
The proposed study is aimed at applying IoT for improving food and Farming
technologies while investigating the role of the IoT in modern agricultural sector. In this
context, it has been found that in present era agriculture is embedded with advanced
technologies and devices such as GPS, sensors which allow us to efficiently communicate
with each other. In addition to that, in this study data analysis and exchange in relation to
smart farming have been studied. The research found that IoT offers service in the form of a
cloud to modern agriculture. Besides, IoT helps farmers in the fields of
cultivation of crops, fertilizers, pricing, diseases, and detailed methods of their cure.
Furthermore, this study has applied a cloud-based app on agriculture for getting better output.
In this way, agri-cloud demonstrated enhanced agricultural production as well as availability
of data in relation to research projects in the agriculture field.
The selected research study has talked about IoT solutions for food manufacturing and
precision farming while applying artificial intelligence apps within digital food. As we know
that, food processing and farming are lagging behind many industries whenever it is about
using innovative technologies. The authors have presented use of IoT for the farmers which
can work with natural resources for enhancing the sustainability of the agriculture related
operations. Proposed research has examined a practical scenario of a Malthouse. The research
has enabled an AI-based system to prescribe many schedules and settings. In addition to that,
a careful modelling of how carbon di-oxide, humidity, PH and temperature vary in the key
steps of malting procedure has been demonstrated well. Finally, it has been found that malt

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with greater content of proteins and starch supported the agricultural tuning of various
schedules and settings.
This research paper has presented detailed research on the application of IoT into
agriculture field. The authors have highlighted the fact that contemporary farming is
leveraging benefits from sensors, GPS which considerably empower farming. The research
has found that agriculture-based cloud and IoT benefits provide an exceptional capability to
the farmers and operators of farming in this digital era. It is clear that the review in this paper
depended upon applying a cloud construct application within farming. In this way, IoT is
helping farming with the help of agro-cloud which is able to upgrade agriculture generation
along with accessibility of info in modern farming. Finally, it has been found that for
improving food and farming technologies, IoT agriculture has been presented effectively.
This research study is narrated on IoT applications in the agriculture field for smart
farming while including different lessons and experiences learnt by them. In other words, IoT
based smart farming will be able to meet the increased demand for growing population.
Besides, IoT is able to influence the farming industry while automating the whole agriculture
system. With IoT, the farmers will be capable to monitor the farm conditions from any
remote place. In addition to that, the research is highlighting that IoT-based smart farming is
hugely effectual when it is getting paralleled to the customary farming approaches. In this
way, with the help of this research different IoT platforms have been identified as agriculture
drones, livestock monitoring, precision farming, smart greenhouses, and many more.

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The study is based on Agri-IoT being is a semantic framework for IoT-enabled smart
farming applications in near future. It has been found that Agri-IoT being a great framework
is used to gather process as well as analyse data streams. Such data streams are usually
analysed in real-time and thereby facilitate facility of smart elucidations which are designed
to offer decision-support. This paper proposed Agri-IoT, being a semantic framework for
updated farming applications. These IoT-based applications support reasoning all across
many heterogeneous sensor data streams within real-time. The authors have found that Agri-
IoT is able to integrate more than one cross-domain data streams, while offering an inclusive
semantic processing pipeline. In this way, Agri-IoT offers a shared framework for smart
farming applications in this digital era. In a nushell, Agri-IoT is successfully support big-
scale data analytics as well as event detection, from the perspective of efficient smart farming
in future.
In this proposed study, authors have provided a frame for smart and secured smart
green-house farming based on block-chain technology. It has been found that an emerging
greenhouse technology based on IoT in agriculture is being used by the world. In addition to
that, to enable effective remote monitoring and automation, smart farming techniques on the
basis of IoT, have been developed. However, security and privacy are still counting as the
major concerns, because of the huge scale of distributing nature of their network. In this way,
this research has attempted to overcome such security challenges by using block-chain that
allows farmers to practice smart farming effectively. In whole, this paper has provided
lightweight block-chain based architecture in relation to smart greenhouse farms for further
improving security and privacy as well.
While studying and concluding a research study on IoT based agriculture monitoring
system within smart agriculture, the authors have successfully conducted a concrete study on

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monitoring system for smart farming. It has been found that IoT indeed shows an important
role in smart era’s agriculture. In addition to that, smart farming has been observed as an
emerging methodology. Furthermore, the study suggests that IoT sensors are highly capable
of giving info about their agriculture areas in relation to smart farming. In this way, the
authors made use of evolving technology while using automation. In this context, monitoring
environmental factors are vital to improving the yield of high-quality crops. The feature of
this paper includes monitoring temperature and humidity in agricultural field through sensors
using CC3200 single chip. In a nutshell, with the help of this study camera is interfaced with
CC3200 for capturing images and then sends those pictures via MMS to the farmers mobile
while utilising Wi-Fi.
This study has included a novel smart farming system based on cloud computing for
early discovery of insects in tomatoes. As we know that food and crop security is strongly
related to insect development in the crops of any eatables. Hence, any technology which can
allow farmers or humans to detect development of these insects in the fruits and vegetables
then it will save all of the crops from getting wasted in the end. Subsequently, IoT based
early detection technologies will also allow farmers to save society people health and well-
being. Besides, IoT based technology presented in this research study will help farmers in
huge losses from pest infestation in crops. In this way, in order to solve such problem the
authors have suggested constantly monitor crops by using video processing, cloud computing
as well as robotics. Finally, the chosen research concentrated on methods to detect pests in
the most popular fruit in the world - the tomato.
The chosen research paper has presented designing as well as implementation of a
linked farm in relation to smart farming system (SFS) in this era. In the context of smart
farming, the research study has found so many useful results. As we know that agriculture is

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the most vital industry in human community. As farming offers humans absolutely
indispensable resources like fiber, food, and most importantly energy, hence making it
efficient with designing and implementation is the aim of this research study. It has been
found that agriculture industry can be further developed with novel technologies, such as the
IoT. In other words, authors have presented a connected farm based on IoT systems, in order
to provide smart farming systems for the global end-users. In whole, detailed design as well
as implementation for linked farms have been explained, analysed and illustrated.
The research study is based on introducing an important role of big data in smart
farming. This study has suggested that big data will have a huge impact on smart farming and
hence it will involve the whole supply chain in agriculture field. It has been observed that
smart sensors and devices often generate huge amount of data which offer unbeatable
decision-making abilities in farming. The research suggests that big data is anticipated to
cause great shifts in different roles as well as power relations amid conventional and non-
conventional players. The study has also demonstrated business models as well as
governance including privacy, security and data ownership as the key issues to be resolved in
future research in this field. The review study showed that big data is having huge scope
beyond primary production. Thus, big data is able influence the whole food supply chain in
the agriculture field all across the world.
This research study has studied smart farming IoT based on edge as well as cloud
computing. With the help of precision agriculture, hydroponics, edge computing, and NGSI
and edge computing, this paper has found desired outcomes in the field of farming. The
research suggests that NGSI is an abbreviation of Next Generation Service Interface which is
often used for northbound and southbound access to the cloud while doing smart farming.
The main findings of this study suggest that the cloud platform collects current and past
records and hosts data analytics modules in a FIWARE deployment. In addition to that,
IoT protocols like Message Queue Telemetry Transport (MQTT) or Constrained Application

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Protocol (CoAP) are utilised to communicate with CPS. It has been found that the system has
been completely instantiated within a real prototype in frames of the EU DrainUse project.
Task 2 Journal Synopsis paper
The introduction of Internet of Things (IoT) is essential in the area of farming to make
it smart because many global people are hungry while 815 million people are critically
undernourished in this digital world. This research has found that globe is requiring using IoT
for agriculture because more healthy food is needed to nourish the increasing population of
the whole world. In addition to that, IoT is already being utilized in farming to get better food
for world societies. The research found that IoT in farming owns both merits and de-merits
presently, hence de-merits or challenges need to be addressed effectively so that more IoT
based technologies can be used for nurturing farming fields all across the world. In this way,
the idea of using IoT in farming is the greatest from the perspective of achieving sustainable
development goals of ‘food for all’.

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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.
Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R. P., & Shanker,
R. (2016). Internet of agriculture: Applying IoT to improve food and farming
technology. International Research Journal of Engineering and Technology
(IRJET), 3(10), 713-719.
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.
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.
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.
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.
Patil, A. S., Tama, B. A., Park, Y., & Rhee, K. H. (2017). A framework for blockchain based
secure smart green house farming. In Advances in Computer Science and Ubiquitous
Computing (pp. 1162-1167). Springer, Singapore.
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.
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

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borer insects in tomatoes. In 2015 International Conference on Communication,
Information & Computing Technology (ICCICT) (pp. 1-6). 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.
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming–a
review. Agricultural Systems, 153, 69-80.
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.