Shane’s IOT Greenhouse project

The project aims to adapt IoT based Greenhouse project for Australian farmers. It utilizes blockchain for security and privacy. The paper discusses research questions, methodology, project plan, risk analysis, duration, and Gantt chart.

Running head: PROJECT MANAGEMENT
Shane’s IOT Greenhouse project
Name of the Student
Name of the University
Author’s Note

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Table of Contents
1. Title........................................................................................................................................2
2. Rationale................................................................................................................................2
2.1 Problem domain...............................................................................................................2
2.2 Purpose and justification..................................................................................................2
3. Supervisor Approval..............................................................................................................2
4. Research Questions................................................................................................................3
5. Conceptual or theoretical framework.....................................................................................3
6.Methodology...........................................................................................................................4
6.1 Analysis of sources of information..................................................................................4
6.2 Research and system development methods....................................................................4
6.3 Data collection or system design methods.......................................................................5
6.4 Ethical issues....................................................................................................................5
6.5 Compliance requirements.................................................................................................5
7. Project plan.............................................................................................................................6
7.1 Deliverable.......................................................................................................................6
7.2 Work breakdown structure...............................................................................................7
7.3 Risk analysis.....................................................................................................................7
7.4 Duration............................................................................................................................9
7.5 Gantt chart......................................................................................................................10
Bibliography.............................................................................................................................11

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1. Title
The title of the project is “Shane’s IOT Greenhouse project
2. Rationale
2.1 Problem domain
It is found that in Australia, the farmers utilize manual method including hand
weeding as well as utilization of hand tools for farming which creates number of issues
including problems in weed seedlings, challenges in covering large scale area as well as more
consumption of time. Therefore, it is very much necessary for the Australian farmers to adapt
IOT based Greenhouse project. However, the famers are facing number of challenges in
adapting IoT due to quality as well as because of lack of support in utilizing all the device
and because of security challenges.
2.2 Purpose and justification
It is found that the farmers of Australia have a major concern about the security as
well as privacy due to large scale of dissemination in IOT based greenhouse project. In order
to resolve the problem, it is very much necessary to utilize blockchain that helps in allowing
the development of distributed digital ledger of transaction which is generally shared among
different nodes of IoT. Thus, it is very much necessary to develop lightweight blockchain
based IoT architecture for the greenhouse farms for providing proper security as well as
privacy.
3. Supervisor Approval
It is found that before the development of the lightweight blockchain based IoT
architecture for the greenhouse farms, it is very much necessary to get approval from the
supervisors of the project. It is found that without approval, the project managers will face

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number of challenges and issues and thus after getting approval, it is the responsibility of the
project manager to initiate with the work of the project.
4. Research Questions
The research questions are generally elaborated below:
 What are main issues and challenges while adapting IOT in farming?
 What are the advantages of adapting the IOT systems?
 Why country like Australia should adapt the IOT systems?
5. Conceptual or theoretical framework
According to Arshad et al. (2018), the emerging technology of greenhouse in the
agricultural fields is utilizing IoT in order to monitor as well as for automate the entire
process of farming. It is found that the technology of IoT helps the farmers in order to carry
out the entire work plan within a farm without the utilization of manual inspection. On the
other hand, it is stated by Kadam et al. (2018) that the use of IoT in greenhouse farms creates
major concern related to privacy as well as security due to large scale dissemination of the
entire network. Thus, it is very much necessary to develop lightweight black chain based IoT
architecture for the greenhouses farms for giving proper security as well as privacy. It is
found that IoT devices in the greenhouses generally helps in acting as a blockchain that is
generally managed centrally for optimizing the consumption of energy.
It is found that IoT based greenhouse farming is considered to be quite advnatgeous
due to number of reasons which are generally elaborated below:
Precision farming: Precision farming is considered as one of the significant process
that assists in making the entire procedure of faming much more accurate as well as

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controlled in order to raise the live stocks as well as growing of various types of crops (Liao
et al., 2017).
Livestock Monitoring: IoT applications are very much helpful for the farmers in
order to collect different types of data and information irrespective of the location (Agnal et
al., 2018). This information will be considered to be very much helpful in identifying the
condition of the livestock.
Smart Greenhouses: Greenhouse farming is considered as one of the important
techniques that is helpful in enhancing the yields of the vegetables, crops as well as fruits.
Greenhouse control-based parameters are generally utilized in two different ways either with
the help of manual intervention or with the help of control mechanism (Kodali, Jain &
Karagwal, (2016). It is found that smart greenhouse with embedded IoT is quite helpful in
monitoring as well as controlling the climate thereby helpful in eliminating the requirement
of human intervention.
6.Methodology
6.1 Analysis of sources of information
It is found that due to the utilization of IoT based greenhouse farming in Australia,
the farmers will get the opportunity of precision farming which provides them the facility of
accurate as well as controlled procedure of crops growing (Liao et al., 2017). It is found that
IoT based applications are also helpful for the farmers in order to collect data in context to
location as well as well-being of the cattle (Lin et al., 2018). In addition to this, this
information assists in determining the condition of the livestock. Moreover, it is analyzed that
the use of greenhouse farming technique assists in enhancing crops as well as fruits by 30%.
Additionally, it is found that the when the greenhouse based IoT embedded systems are used

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they are helpful in monitoring the climate b eliminating the requirement of intervention by
humans.
6.2 Research and system development methods
It is found that the paper utilizes system development life cycle method in order to
provide a systematic procedure in order build as well as deliver the application of IoT from
inception to the closure phase (Chauhan, Rana & Sharma, 2017). It is found that system
development methodology methods, the project managers are capable of tracking the
progress of the project quite effectively. In addition to this, it is found that SDLC
methodology is mainly used in order to understand the various stages of the project
effectively.
6.3 Data collection or system design methods
It is identified that in order to collect information related with IoT based greenhouse
farming, secondary data collection method is generally utilized. It is found that in order to
collect information number of journals as well as articles that were published recently are
reviewed in order to get proper as well as accurate information related with the problems in
adapting IOT greenhouse and benefits of IoT based greenhouse farming.
6.4 Ethical issues
It is found that there are number of ethical issues as well as challenges that can occur
while the entire research is undertaken. The ethical issues are elaborated below:
Confidentiality: Confidentiality of data and information must be maintained in order
to avoid the ethical challenges.
Protection: It is found that the individuals who are generally involved within the
research should not be pressurized for doing any type of project work.

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Carefulness: It is very much important to avoid the caseless mistakes while
undertaking the research for avoiding different types of ethical challenges.
6.5 Compliance requirements
The different governments as well as regulations that are generally related with the
workplace must be followed while undertaking the entire project successfully are elaborated
below:
Health and safety act: Health and safety act needs to be followed in order to give
safe working environment to the employees.
Healthy work environment: It is quite important to have a safe as well as healthy
environment of work for the employees for so that workers can work effectively without
facing any type of issues.

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7. Project plan
7.1 Deliverable
Figure 1: Poster
(Source: Created by Author)

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7.2 Work breakdown structure
IoT greenhouse project
Initiation phase
Business case
development
Feasiability check
Project charter
development
Hiring team
members
Milestone 1:
Completion of
project initation
phase
Planning phase
Development of
project plan
Development of
resource plan
Development of
finanacial plan
Development of risk
management plan
Developing quality
plan
Development of
human resource
management plan
creation of
communication plan
Milestone 2:
Completion of
planning phase
Execution phase
Proclamations of
green intentions
Appointment of
working group for
green IT
use of IOT
microcontroller in
the grrenhose
system
Installation of
portable camera
Use of
microcontrollers like
Arduino
Utilization of
blockchain
architechture
Use of Bluetooth
mesh network
Working with pople
involved in IT process
life cycle
Distribution of
several Wi-Fi router
Milestone 3:
Completion of
execution pahse
Closure phase
Post project review
Stakeholder sign off
Documentation
Milestone 4:
Completion of
closure phase
Figure 2: WBS
(Source: Created by Author)
7.3 Risk analysis
Risk Description Impact Likelihood Mitigation
techniques
Slippage of
schedule
If the schedule
of the project is
not managed
properly then
there is a
chance of
High High It is quite
necessary to
manage the
project on a
weekly basis for
avoiding project

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PROJECT MANAGEMENT
schedule
slippage which
further causes
delay.
slippage.
Technical issue If the IT
managers are
inexperienced
then they are
chances of
occurring
technical issues.
High High It is very much
important to
hire
experienced IT
team for
avoiding
technical issues
as well as for
finishing project
on time.
Budget shortfall If the cost of
the project
resources
increases then
there is a
chance of
budget shortfall
that further
causes financial
issues and
challenges.
High High It is very much
necessary to
manage the
resources
effectively so
that the project
can be
completed
within the
approved
budget.

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7.4 Duration
It is found that the development of IOT greenhouse project will be completed within
30 days. The schedule of the project is provided below:
Figure 2: Schedule
(Source: Created by Author)

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7.5 Gantt chart
Figure 3: Gantt chart
(Source: Created by Author)

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Bibliography
Agnal, S., Kapoor, K., Musfik, M., & Sharma, R. (2018). Automated Smart Greenhouse
Environment Using IoT.
Arshad, J., Saleem, S., Badar, M. S. U., Khalid, S., Mumtaz, Z., Ullah, S., ... & Madni, H. A.
(2018). An Intelligent Monitoring and Controlling of Greenhouse: Deployment of
Wireless Sensor Networks and Internet-of-Things.
Chauhan, B. D., Rana, A., & Sharma, N. K. (2017, September). Impact of development
methodology on cost & risk for development projects. In 2017 6th International
Conference on Reliability, Infocom Technologies and Optimization (Trends and
Future Directions)(ICRITO) (pp. 267-272). IEEE.
Joslin, R., & Müller, R. (2015). Relationships between a project management methodology
and project success in different project governance contexts. International Journal of
Project Management, 33(6), 1377-1392.
Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and Precision
Polyhouse Farming Using Visible Light Communication and Internet of Things.
In Intelligent Computing and Information and Communication (pp. 247-256).
Springer, Singapore.
Kerzner, H. (2017). Project management metrics, KPIs, and dashboards: a guide to
measuring and monitoring project performance. John Wiley & Sons.
Kodali, R. K., Jain, V., & Karagwal, S. (2016, December). IoT based smart greenhouse.
In Humanitarian Technology Conference (R10-HTC), 2016 IEEE Region 10 (pp. 1-6).
IEEE.

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Liao, M. S., Chen, S. F., Chou, C. Y., Chen, H. Y., Yeh, S. H., Chang, Y. C., & Jiang, J. A.
(2017). On precisely relating the growth of Phalaenopsis leaves to greenhouse
environmental factors by using an IoT-based monitoring system. Computers and
Electronics in Agriculture, 136, 125-139.
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.