Implementation of IoT Based Smart Agriculture System in Farming

This report delves into the implementation of IoT-based smart agriculture systems, examining how the integration of sensors and wireless communication can revolutionize farming practices. The report begins with an executive summary outlining the core focus: optimizing agricultural processes through IoT technologies. It then provides a detailed literature review, drawing on research from various authors to highlight the benefits of IoT in agriculture, such as real-time data collection, automated monitoring, and resource optimization. The methodology section discusses the research approach, emphasizing qualitative methods and literature analysis to understand the implementation frameworks. The discussion and implications section then analyzes the potential of IoT in agriculture, showcasing how technological advancements can enhance efficiency and productivity. The report concludes by summarizing the key findings and emphasizing the significance of IoT in creating a more sustainable and efficient agricultural sector. The report also includes references and figures to support the findings.

Running head: IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
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1IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
EXECUTIVE SUMMARY
The main purpose of the report is to deal with the effective knowledge of the IoT
technologies that significantly adheres the different optimizations related to the agricultural
field. The significant usage of the different research methodologies associated with the
different literatures are significantly used in respect to draw an overall analysis of the smart
agricultural system. This report will effectively carry out the critical assessment of the
different methodologies associated within this field thus adhering the concept of the smart
IoT implications in the field of agriculture.

2IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
Table of Contents
1.0 Introduction..........................................................................................................................3
1.1 Aim of the report..............................................................................................................3
1.2 Objectives of the report....................................................................................................4
1.3 Scope of the report...........................................................................................................4
2.0 Literature Review.................................................................................................................4
3.0 Methodology........................................................................................................................7
4.0 Discussions and implications of the research.......................................................................8
5.0 Conclusion..........................................................................................................................10
6.0 References..........................................................................................................................11

3IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
1.0 Introduction
Farming is depicted as one of the significant part, which deals with the primary
livelihood of many countries. The significant automation of the application in respect to the
farming technology is depicted to be an important aspect related with the implementation of
the IoT services within the agricultural sector. The implementation of the information
technology in the environment of the agricultural sector tends to amplify the overall
procedures associated in this sector. The implementation tends to effectively provide
enhanced services as well as the significant data collection methods associated within this
field is depicted to be an important aspect that is highlighted in respect to the implementation
of the IoT within the agricultural sector. The implementation on the other hand also tends to
improve the usability as well as the scalability of the agricultural trends associated with the
overall issues related with the module of wireless communication in respect to the automated
agricultural system.
The modern time is associated with the transition period of the wired as well as
wireless interaction modules within the agricultural sector. The implementation of the IoT
services within the environment of the agriculture will significantly help this sector to
amplify their business in respect to the usage of different effective services that will tend to
amplify the business of the overall sector. The report will be effectively deal with the
different aspects of IoT implementation within the agricultural sector thus adhering the
concept of automated systems within the fields of agriculture.
1.1 Aim of the report
The significant aim of the report enhances to achieve the following:
 The automation of the different aspects of agriculture sector thus amplifying the
business.

4IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
 To make the manual agriculture sector to deal with the IoT implementation thus
intending the smart agriculture framework.
 To implement wireless module of communication thus adhering the concept of smart
farming.
1.2 Objectives of the report
The significant objectives that the report intends to provide are depicted as follows:
 To obtain a significant easily accessible smart agricultural framework.
 To understand the overall concept of the IoT implementation within the framework of
agriculture
1.3 Scope of the report
The report will potentially evaluate the overall implementation of the IoT in respect to
the agricultural sector that will help this sector to evaluate the business in this sector thus
reducing the enhanced effort within this field. The scope of the report is to analyse the overall
IoT implementation in the agricultural sector thus enhancing this field to be smart for
carrying out the business.
2.0 Literature Review
According to Krishna et al., (2017), a significant agriculture monitoring system has
been introduced that are based on WSN. This monitoring system is depicted to provide
effective services to the farmers associated within this field. This monitoring system intends
to monitor the overall advantages associated with the farming lands as well as measures the
level of productivity associated with the land that is used for the farming and the optimization
of the resources used by the farmers for the enhancement of the architecture. Moreover, this
monitoring system also helps the farmers to effectively manage the overall chemical usage
with the implementation of the UAV’s. This helps the farmers to deal with the overall

5IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
feedback in respect to the lands that are associated with the sector of the agriculture (Lin et
al., 2018). The authors also depicts the usage of the sensors that will be associated in respect
to the minimization of the wastage due to the implication of the pesticide within the lands.
The embedded monitoring as well as the control system helps the field of agriculture to
significantly deal with the overall management of the associated services as well as maintains
a significant track in respect to the overall usage of the lands, chemical and pesticide usage in
the land, which is used for agriculture (Kapoor et al., 2016). The communication signals that
will be used for the effective knowledge of the land usage tends to amplify the usage of the
land for significant farming associated with the agricultural sector (Yoon et al., 2018). The
article also signifies the usage of the microcontroller systems that are associated with the
measurement of the temperature and humidity. These sensors significantly measures the
humidity thus identifying the potential time that can be used for the farming. There is also an
important system analysed within the article that is associated with the measurement of the
greenhouse gas effect that tends to hamper the farming sector. The integrated system also
helps the sector to identify the amount of the gas released thus enhancing the overall
parameters to deal with the effective farming thus analysing the overall business related with
the agriculture (Mehta & Patel, 2016). The article suggests a raspberry Pi model that will be
associated with the overall management of the smart agricultural systems to enhance the
sector of farming. The picture below represents the overall model that is to be implemented in
respect to the smart agricultural systems.

6IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
(Image: Framework for IoT Technology implementation)
(Source: Krishna et al., 2017)
The effective model suggests the usage of the effective sensors that are identified as
CO2 Sensors, Moisture Sensor, pH Sensor, UV Sensor, Humidity Sensor as well as Thermo
Hygro Sensor (Tripathy & Patra, 2020). These are suggested to be effective in respective to
the enhancement of the agricultural sectors. The design framework will be efficient in respect
to the agricultural sectors.
According to Patil & Kale (2016), the implementation of the significant nodes,
servers, gateways, smartphones as well as the databases are effectively taken into
consideration in respect to the overall designing of the smart farming systems that are related
with the enhancement of the architecture. The effective design that are associated with the
implementation of the smart farming system is identified as the hardware as well as the
message design. This will effectively carryout the effective implementation procedure of the
smart farming systems that are associated with the overall communication of the data within
the network module (Shahzadi et al., 2016). The article suggests the effective usage of the
wireless communication services within the framework of the smart agricultural system thus
adhering the overall fact associated with the network infrastructure of the smart farming

7IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
systems. The network framework associated with the implementation of the wireless
communication channel within the agricultural sector is identified as an important sector that
will be associated with the smart implementation of the IoT services. The network server
within this framework is depicted to be useful for the significant flow of the overall data that
is associated with the effective management of the agricultural systems (Rawal, 2017). The
effective communication within this framework uses the Bluetooth as well as LPWAN
module for the enhanced management of the data associated with the smart agricultural
framework. The communication within the channels will significantly help the sector to attain
a great deal of knowledge thus enhancing the overall module to be effective in respect to the
sector of agriculture. The significant usage of the temperature sensor is depicted as one of the
significant sector that is associated with the overall management of the farming within the
agricultural fields thus enhancing the potential of this sector.
3.0 Methodology
The significant research methodology associated with the effective implementation of
the IoT in respect to the agricultural sector is identified as the important frameworks
associated with the alignment of the noteworthy hardware as well as software
implementation. Moreover, the research within this field is carried out effectively as per the
qualitative as well as quantitative methods. The significant methodology of the qualitative
methods are depicted to be the theoretical frameworks associated with the implementation of
the IoT based devices within the effective knowledge of the agricultural based sectors
(Prathibha, Hongal & Jyothi, 2017). The literature review analysis provide in the former part
of the report analyses the different facts provided by the significant authors that are
associated with the research within the automated applications within this sector. The usage
of the different sensors as well as the methodology that are aligned with the effective
framework of the automated agricultural sector is analysed to be an enhanced methodology

8IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
associated with the implementation of the IoT techniques within these sectors (Ryu et al.,
2015). The selected literatures are potentially reviewed in respect to the overall techniques
associated with the implementation of IoT. The conceptual framework that are used in respect
to the overall design of the sensors as well as the software sensors implies the significant
potential associated with the agricultural sectors.
The significant qualitative research methodology deals with the overall analysis of the
literatures that are associated with the implementation of the IoT within the agricultural
sector thus enhancing the overall sector to be smart. The literatures that are assessed in
respect to the implementation of IoT within this report is depicted to be the most significant
aspect in regards to the agricultural field (Nayyar & Puri, 2016). The methodology of
research is carried out significantly with the critical analysis of the literatures that are related
within this field. These literatures are found to be important in respect to the analysis of the
different frameworks that are associated with the implementation of IoT in the agricultural
sector. Thus, the implementation frameworks are found to be significant in respect to the
enhancement within the agricultural fields. This methodology has provided the importance as
well as details of the implementation frameworks as well as helps the agricultural sectors to
be effective with the potential implication.
4.0 Discussions and implications of the research
The stated research methodology leads to the fact that the implication of the stated
techniques will tend to amplify the ease of work in the field of the agriculture. The significant
methodologies that are being implied in respect to the overall management of the different
procedures related to the agricultural sectors. The overall discussion of the report deals with
the fact that the innovative as well as technological implications may result the agricultural
sector to be enhanced. The overall literatures assessed within this report deals with the

9IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
different frameworks that will significantly help the sector to maintain the enhanced
agricultural fields. The significant research methodology adhered within the report helps with
the proper analysis of the different technology frameworks that will intend to ease the work
in the agricultural sectors. Moreover, the significant hardware as well as the software
implications associated with the different frameworks depicted within the report tends to
amplify the overall effectiveness in respect to the agricultural sectors.
The significant research methodology associated with the implementation of the
different sensors as well as the implemented softwares to be aligned in respect to the
hardware methodologies is depicted to be useful in respect to the overall management of the
agricultural fields (Suma et al., 2017). The research tends to improvise the overall trends in
regards to the implementation of IoT technology within the sector of agriculture thus
amplifying the profit in respect to this field. The extensive research associated with the
overall implementation of the IoT technology in the environment of the agriculture will be
helpful in respect to the enhancement of the business. The important usage of the different
frameworks within this field helps in the enhancement of the business within this field (Ray,
2017). The sensors associated with the overall development of the frameworks associated
with the different fields is depicted to be significant in respect to the enhancement of the
agricultural sectors. The proposed model in the different literatures are stated to be effective
in respect to the enhancement of the different sections associated with the agricultural sectors
(Channe, Kothari & Kadam, 2015). The implication of the research within this field is related
with the different enhancements in respect to the different sections related with the sector of
agriculture.
The research also signifies the importance of the IoT technology in the field of
agriculture thus enhancing the overall aspects of the different sensors, internet methodologies
as well as the network layers associated with the different sectors of the agricultural fields.

10IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
The significant discussion in respect to the implementation of IoT is identified to enhance the
agricultural model associated in the field (Saraf & Gawali, 2017). The implication of the
different research statements within this field is stated to be important in respect to the
effectiveness associated within this field. The field of agriculture is depicted to possess
different sections that will be important in respect to the overall implications of the research
thus monitoring the different aspects related within this field.
5.0 Conclusion
The significant report deals with the overall implications of the proposed theories as
well as frameworks associated with the IoT implementations in the sector of agriculture. The
implied research within this field is depicted to be useful in regards to the application of the
sensors as well as the network topologies to maintain the network communication in respect
to the agricultural sectors. Moreover, the overall implications of the different strategies
associated with the implementation of the IoT within this field intends to provide the
effective knowledge with respect to the different frameworks associated in the field. Thus,
the overall report states that the sector of agriculture will be very helpful with the
implementation of the proposed methodologies with the help of the implemented IoT
framework within this field.

11IMPLEMENTATION OF IOT BASED SMART AGRICULTURE SYSTEM IN FARMING
6.0 References
Channe, H., Kothari, S., & Kadam, D. (2015). Multidisciplinary model for smart agriculture
using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-
data analysis. Int. J. Computer Technology & Applications, 6(3), 374-382.
Kapoor, A., Bhat, S. I., Shidnal, S., & Mehra, A. (2016, October). Implementation of IoT
(Internet of Things) and Image processing in smart agriculture. In 2016 International
Conference on Computation System and Information Technology for Sustainable
Solutions (CSITSS) (pp. 21-26). IEEE.
Krishna, K. L., Silver, O., Malende, W. F., & Anuradha, K. (2017, February). Internet of
Things application for implementation of smart agriculture system. In 2017
International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-
SMAC) (pp. 54-59). IEEE.
Lin, J., Shen, Z., Zhang, A., & Chai, Y. (2018, July). Blockchain and iot based food
traceability for smart agriculture. In Proceedings of the 3rd International Conference
on Crowd Science and Engineering (p. 3). ACM.
Mehta, A., & Patel, S. (2016). IoT based smart agriculture research opportunities and
challenges. Int. J. Technol. Res. Eng, 4, 541-543.
Nayyar, A., & Puri, E. V. (2016, November). Smart Farming: IoT Based Smart Sensors
Agriculture Stick for Live Temprature and Moisture Monitoring using Arduino Cloud
Computing & Solar Technology. In Conference: The International Conference on
Communication and Computing Systems (ICCCS-2016).

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Patil, K. A., & Kale, N. R. (2016, December). A model for smart agriculture using IoT. In
2016 International Conference on Global Trends in Signal Processing, Information
Computing and Communication (ICGTSPICC) (pp. 543-545). 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.
Rawal, S. (2017). IOT based smart irrigation system. International Journal of Computer
Applications, 159(8), 7-11.
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.
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
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Saraf, S. B., & Gawali, D. H. (2017, May). IoT based smart irrigation monitoring and
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Shahzadi, R., Ferzund, J., Tausif, M., & Suryani, M. A. (2016). Internet of things based
expert system for smart agriculture. International Journal of Advanced Computer
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Suma, N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT
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Innovation Trends in computing and communication, 5(2), 177-181.

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Tripathy, S., & Patra, S. (2020). IoT-Based Precision Agriculture System: A Review. In IoT
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and Opportunities (pp. 1-7). IGI Global.
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