Lightweight Blockchain IoT Architecture for Australian Greenhouses

This project addresses the security and privacy concerns of Australian farmers using IoT in greenhouse projects by proposing a lightweight blockchain-based IoT architecture. The research highlights the challenges of manual farming methods and the benefits of adopting IoT, including precision farming, livestock monitoring, and smart greenhouses. The project utilizes the system development life cycle (SDLC) methodology for a systematic approach to project development, emphasizing the importance of tracking progress and understanding project stages. Ethical considerations, such as confidentiality, protection, and carefulness, are also discussed. The project aims to answer key research questions related to the issues and advantages of adapting IoT systems, and the rationale for adoption in Australia. The goal is to create a secure and private environment for IoT implementation in agriculture.

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.
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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.
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, 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
controlled in order to raise the live stocks as well as growing
of various types of crops.
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. 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
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.
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.
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.
Carefulness: It is very much important to avoid the
caseless mistakes while undertaking the research for
avoiding different types of ethical challenges.
Problem domain Conceptual framework System development methods Project plan
References
Purpose and justification
Development of IoT greenhouse
project
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?